main function of the AnophelesModel package — AnophelesModel • AnophelesModel

AnophelesModel calculates, for a given Anopheles mosquito species, the vectorial capacity reduction obtained for a given list of interventions and their deployment coverages.

AnophelesModel(
  mosquito_species = "Anopheles gambiae",
  activity_patterns = "default_Anopheles_gambiae",
  n_time_points = 100,
  total_pop = 2000,
  n_vec = 10000,
  interventions = intervention_obj_examples,
  coverages = c(seq(0, 0.9, by = 0.1), 0.95, 0.99),
  plot_result = TRUE
)

Arguments

mosquito_species

string corresponding to the name of the mosquito species to load the bionomic parameters for. This argument is case sensitive and must be one of the species provided with the package: Anopheles gambiae, Anopheles albimanus, etc. To see the available mosquito species in th package, you can use the function list_all_species().

activity_patterns

can be either a string for available default values: "default_Anopheles_gambiae", "default_Anopheles_albimanus" or a list object with the following attributes:

HBI: proportion of mosquito biting of humans indoors
HBO: propotion of mosquito biting of humans outdoors
humans_indoors: proportion of humans indoors
humans_in_bed: proportion of humans in bed

These attribues can be either time series with the corresponding values at different consecutive time points, or characters indicating an entry ID in the package database. The function list_rhythms() can be used to visualize the available database entries with activity patterns of mosquitoes and humans for various geographical locations.

n_time_points

number of time points to be considered, default is 100

total_pop

total number of hosts, default is 2000

n_vec

number of mosquitoes born and entering the host-seeking state per day, default is 10000

interventions

list of intervention objects. Each intervention object is a list itself with the following elements (attributes):

id: string with the intervention id. To use an intervention whose parameterisation is provided in the package database, id must be one of "IRS", "LLINs", or "House_screening".
description: string containing a short description of the intervention, can be used to differentiate between interventions which have the same id;
parameterisation: string corresponding to the name of the intervention parameterisation to be used to calculate intervention effects. To use a parameterisation available in the package database, this attribute needs to match one of the parameterisations (column "Parameterisation") included in the intervention summary data table, interventions_param$interventions_summary. For a parameterisation not present in the package database, this argument can contain any name chosen by the user and the attribute effects needs to be provided.
effects: list of intervention survival and effects on the mosquito oviposition cycle; This attribute is optional if parameterisation matches one of the intervention parameterisations available in the package database.

This attribute allows defining intervention effects which are not in the package database. Most of these effects are defined at consecutive time points which are equally distributed throughout the duration of the intervention. The number of time points needs to match the provided argument n_time_points. Except for survival which is a vector, these effects are represented by 3-column matrices, where each column, i={1, 2, 3}, corresponds to protected human hosts, unprotected human hosts and animal hosts, respectively. The effects are defined thorugh the following list attributes:
- Kvi: proportion of susceptible mosquitoes that become infected after biting a host of type i, contains one row and 3 columns
- alphai: availability of host i to mosquitoes, contains n_time_points rows and 3 columns
- PBi: probability that a mosquito bites a host of type i, contains n_time_points rows and 3 columns
- PCi: probability that a mosquito finds a resting place after biting a host of type i, contains n_time_points rows and 3 columns
- PDi: probability that a mosquito survives the resting phase after biting a host of type i, contains n_time_points rows and 3 columns
- PEi: probability that a mosquito lays eggs and returns to host-seeking after biting a host of type i, contains n_time_points rows and 3 columns
- survival: survival of the intervention, vector of length n_time_points

If the attribute id is "LLINs" and a parameterisation from the package is used, the following additional attributes for the LLIN intervention object must be provided:

type: type of mosquito net
country: country where the data for the chosen net type was collected.
insecticide: type of insecticide

To list all available LLIN types and corresponding countries, use the function get_net_types(). For all available insecticide types, see the data table interventions_param$LLINs_params$insecticide_c.

coverages

vector of deployment coverages to be considered for the interventions, default value is {0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.95, 0.99}

plot_result

if TRUE, the function plots the reduction of the vectorial capacity for each intervention in the interventions list

Value

list object with the following attributes:

vec_p: list of vector-specific entomological parameters:
- species_name: name of the mosquito species
- M: parous rate (proportion of host seeking mosquitoes that have laid eggs at least once)
- Chi: human blood index (proportion of mosquito blood meals derived from humans)
- A0: sac rate (proportion of mosquitoes who laid eggs the same day)
- zeta.3: relative availability of different non-human hosts
- td: proportion of a day that a mosquito actively seeks a host
- tau: time required for a mosquito that has encountered a host to return to host seeking
- ts: duration of the extrinsic incubation period (time required for sporozoites to develop in mosquitoes)
- endophily: proportion of indoor resting mosquitoes
- endophagy: proportion of indoor feeding mosquitoes
host_p: list of host-specific entomological parameters:
- PBi: probability that a mosquito bites host i
- PCi: probability that a mosquito finds a resting place after biting a host of type i
- PDi: probability that a mosquito survives the resting phase after biting a host of type i
- Kvi:proportion of susceptible mosquitoes that become infected after biting any host of type i
Each vector has three elements corresponding to the probability values for: (1) humans protected by interventions, (2) humans not protected by interventions, and (3) animals. In absence of interventions, the first two values of each vector are identical.
interventions_vec: list of intervention objects including their specifications and effects on the vectorial capacity. It contains all the attributes defined above for the interventions argument of the function. In addition, the effects list contains the following attributes:
- alphai_decay: vector of length n_time_points with the decay of the availability to mosquitoes of humans protected by the intervention
- PBi_decay: vector of length n_time_points with the decay of the probability that a mosquito bites humans protected by the intervention (preprandial effect)
- PCi_decay: vector of length n_time_points with the decay of the probability that a mosquito finds a resting place after biting humans protected by the intervention (postprandial effect)
- vc: matrix containing the vectorial capacity at each time point (n_time_points rows) and for the specified intervention coverages (number of columns equal to the length of the coverages vector)
- impact matrix containing the proportion of reduction of the vectorial capacity obtained at each time point (n_time_points rows) relative to the vectorial capacity before intervention deployment and for the specified intervention coverages (number of columns equal to the length of the coverages vector)
- avg_vc: average vectorial capacity across all time points and for the specified intervention coverages (length equal to the length of the coverages vector)
- avg_impact: average vectorial capacity reduction across all time points and for the specified intervention coverages (length equal to the length of the coverages vector)

Author

Monica Golumbeanu, monica.golumbeanu@swisstph.ch

Olivier Briët, olivier.briet@swisstph.ch

Nakul Chitnis, nakul.chitnis@swisstph.ch

Tom Smith, thomas.smith@swisstph.ch

Examples

AnophelesModel()
#> [1] "Setting vector parameterization ..."
#> [1] "Setting activity patterns ..."
#> [1] "Setting host-specific parameterization ..."
#> [1] "Initializing entomological model ..."
#> [1] "Defining interventions effects ..."
#> [1] "Defining intervention effects for LLINs"
#> [1] "Using intervention effects available for model LLINs01"
#> Selected intervention parameterisation: LLINs01
#> Reference for the selected parameterisation: Randriamaherijaona et al. 2015: https://malariajournal.biomedcentral.com/articles/10.1186/s12936-015-0836-7
#> Previous validation for the selected parameterisation: Missing
#> [1] "Defining intervention effects for IRS"
#> [1] "Using intervention effects available for model IRS12"
#> Selected intervention parameterisation: IRS12
#> Reference for the selected parameterisation: Kuhlow et al. 1962: https://pubmed.ncbi.nlm.nih.gov/14460322/
#> Previous validation for the selected parameterisation: Missing
#> Warning: some 'x' values beyond boundary knots may cause ill-conditioned bases
#> Warning: some 'x' values beyond boundary knots may cause ill-conditioned bases
#> Warning: some 'x' values beyond boundary knots may cause ill-conditioned bases
#> [1] "Defining intervention effects for House_screening"
#> [1] "Using intervention effects available for model Screening01"
#> Selected intervention parameterisation: Screening01
#> Reference for the selected parameterisation: Briet et al. 2019: https://malariajournal.biomedcentral.com/articles/10.1186/s12936-019-2899-3
#> Previous validation for the selected parameterisation: Missing
#> [1] "Calculating interventions impact ..."

#> $vec_p
#> $vec_p$species_name
#> [1] "Anopheles gambiae"
#> 
#> $vec_p$M
#> [1] 0.6134499
#> 
#> $vec_p$M.sd
#> [1] 0.003819127
#> 
#> $vec_p$Chi
#> [1] 0.7947577
#> 
#> $vec_p$A0
#> [1] 0.6419328
#> 
#> $vec_p$A0.sd
#> [1] 0.07280429
#> 
#> $vec_p$zeta.3
#> [1] 1
#> 
#> $vec_p$td
#> [1] 0.33
#> 
#> $vec_p$tau
#> [1] 3
#> 
#> $vec_p$ts
#> [1] 10
#> 
#> $vec_p$to
#> [1] 5
#> 
#> $vec_p$endophily
#> [1] 0.7743085
#> 
#> $vec_p$endophily.sd
#> [1] 0.01233146
#> 
#> $vec_p$endophagy
#> [1] 0.5604133
#> 
#> $vec_p$endophagy.sd
#> [1] 0.00505659
#> 
#> 
#> $host_p
#> $host_p$species_name
#> [1] "Anopheles gambiae" "Anopheles gambiae"
#> 
#> $host_p$host
#> [1] "human"  "animal"
#> 
#> $host_p$PBi
#> [1] 0.95 0.95
#> 
#> $host_p$PCi
#> [1] 0.95 0.95
#> 
#> $host_p$PDi
#> [1] 0.99 0.99
#> 
#> $host_p$PEi
#> [1] 0.88 0.88
#> 
#> $host_p$Kvi
#> [1] 0.03 0.00
#> 
#> $host_p$muvA
#> [1] 0.6840223
#> 
#> $host_p$alphai
#> [1] 0.0019298339 0.0004983702
#> 
#> 
#> $interventions_vec
#> $interventions_vec$LLINs_example
#> $interventions_vec$LLINs_example$id
#> [1] "LLINs"
#> 
#> $interventions_vec$LLINs_example$description
#> [1] "LLINs"
#> 
#> $interventions_vec$LLINs_example$parameterisation
#> [1] "LLINs01"
#> 
#> $interventions_vec$LLINs_example$LLIN_type
#> [1] "Default"
#> 
#> $interventions_vec$LLINs_example$LLIN_insecticide
#> [1] "Default"
#> 
#> $interventions_vec$LLINs_example$LLIN_country
#> [1] "Kenya"
#> 
#> $interventions_vec$LLINs_example$effects
#> $interventions_vec$LLINs_example$effects$host_types
#> [1] "protected humans"   "unprotected humans" "animals"           
#> 
#> $interventions_vec$LLINs_example$effects$Kvi
#> [1] 0.03 0.03 0.00
#> 
#> $interventions_vec$LLINs_example$effects$alphai
#>                [,1]        [,2]         [,3]
#>   [1,] 0.0005346073 0.001929834 0.0004983702
#>   [2,] 0.0005370991 0.001929834 0.0004983702
#>   [3,] 0.0005424406 0.001929834 0.0004983702
#>   [4,] 0.0005495246 0.001929834 0.0004983702
#>   [5,] 0.0005574307 0.001929834 0.0004983702
#>   [6,] 0.0005655691 0.001929834 0.0004983702
#>   [7,] 0.0005736164 0.001929834 0.0004983702
#>   [8,] 0.0005814160 0.001929834 0.0004983702
#>   [9,] 0.0005889040 0.001929834 0.0004983702
#>  [10,] 0.0005960651 0.001929834 0.0004983702
#>  [11,] 0.0006029078 0.001929834 0.0004983702
#>  [12,] 0.0006094514 0.001929834 0.0004983702
#>  [13,] 0.0006157192 0.001929834 0.0004983702
#>  [14,] 0.0006217352 0.001929834 0.0004983702
#>  [15,] 0.0006275224 0.001929834 0.0004983702
#>  [16,] 0.0006331017 0.001929834 0.0004983702
#>  [17,] 0.0006384925 0.001929834 0.0004983702
#>  [18,] 0.0006437119 0.001929834 0.0004983702
#>  [19,] 0.0006487752 0.001929834 0.0004983702
#>  [20,] 0.0006536961 0.001929834 0.0004983702
#>  [21,] 0.0006584866 0.001929834 0.0004983702
#>  [22,] 0.0006631576 0.001929834 0.0004983702
#>  [23,] 0.0006677186 0.001929834 0.0004983702
#>  [24,] 0.0006721783 0.001929834 0.0004983702
#>  [25,] 0.0006765443 0.001929834 0.0004983702
#>  [26,] 0.0006808234 0.001929834 0.0004983702
#>  [27,] 0.0006850219 0.001929834 0.0004983702
#>  [28,] 0.0006891453 0.001929834 0.0004983702
#>  [29,] 0.0006931986 0.001929834 0.0004983702
#>  [30,] 0.0006971864 0.001929834 0.0004983702
#>  [31,] 0.0007011127 0.001929834 0.0004983702
#>  [32,] 0.0007049814 0.001929834 0.0004983702
#>  [33,] 0.0007087958 0.001929834 0.0004983702
#>  [34,] 0.0007125590 0.001929834 0.0004983702
#>  [35,] 0.0007162738 0.001929834 0.0004983702
#>  [36,] 0.0007199430 0.001929834 0.0004983702
#>  [37,] 0.0007235688 0.001929834 0.0004983702
#>  [38,] 0.0007271535 0.001929834 0.0004983702
#>  [39,] 0.0007306991 0.001929834 0.0004983702
#>  [40,] 0.0007342075 0.001929834 0.0004983702
#>  [41,] 0.0007376804 0.001929834 0.0004983702
#>  [42,] 0.0007411195 0.001929834 0.0004983702
#>  [43,] 0.0007445261 0.001929834 0.0004983702
#>  [44,] 0.0007479018 0.001929834 0.0004983702
#>  [45,] 0.0007512477 0.001929834 0.0004983702
#>  [46,] 0.0007545652 0.001929834 0.0004983702
#>  [47,] 0.0007578552 0.001929834 0.0004983702
#>  [48,] 0.0007611189 0.001929834 0.0004983702
#>  [49,] 0.0007643572 0.001929834 0.0004983702
#>  [50,] 0.0007675711 0.001929834 0.0004983702
#>  [51,] 0.0007707614 0.001929834 0.0004983702
#>  [52,] 0.0007739289 0.001929834 0.0004983702
#>  [53,] 0.0007770744 0.001929834 0.0004983702
#>  [54,] 0.0007801986 0.001929834 0.0004983702
#>  [55,] 0.0007833022 0.001929834 0.0004983702
#>  [56,] 0.0007863858 0.001929834 0.0004983702
#>  [57,] 0.0007894501 0.001929834 0.0004983702
#>  [58,] 0.0007924955 0.001929834 0.0004983702
#>  [59,] 0.0007955227 0.001929834 0.0004983702
#>  [60,] 0.0007985321 0.001929834 0.0004983702
#>  [61,] 0.0008015242 0.001929834 0.0004983702
#>  [62,] 0.0008044996 0.001929834 0.0004983702
#>  [63,] 0.0008074586 0.001929834 0.0004983702
#>  [64,] 0.0008104016 0.001929834 0.0004983702
#>  [65,] 0.0008133291 0.001929834 0.0004983702
#>  [66,] 0.0008162414 0.001929834 0.0004983702
#>  [67,] 0.0008191389 0.001929834 0.0004983702
#>  [68,] 0.0008220220 0.001929834 0.0004983702
#>  [69,] 0.0008248909 0.001929834 0.0004983702
#>  [70,] 0.0008277461 0.001929834 0.0004983702
#>  [71,] 0.0008305877 0.001929834 0.0004983702
#>  [72,] 0.0008334161 0.001929834 0.0004983702
#>  [73,] 0.0008362316 0.001929834 0.0004983702
#>  [74,] 0.0008390345 0.001929834 0.0004983702
#>  [75,] 0.0008418249 0.001929834 0.0004983702
#>  [76,] 0.0008446032 0.001929834 0.0004983702
#>  [77,] 0.0008473696 0.001929834 0.0004983702
#>  [78,] 0.0008501244 0.001929834 0.0004983702
#>  [79,] 0.0008528676 0.001929834 0.0004983702
#>  [80,] 0.0008555997 0.001929834 0.0004983702
#>  [81,] 0.0008583207 0.001929834 0.0004983702
#>  [82,] 0.0008610309 0.001929834 0.0004983702
#>  [83,] 0.0008637305 0.001929834 0.0004983702
#>  [84,] 0.0008664196 0.001929834 0.0004983702
#>  [85,] 0.0008690985 0.001929834 0.0004983702
#>  [86,] 0.0008717673 0.001929834 0.0004983702
#>  [87,] 0.0008744262 0.001929834 0.0004983702
#>  [88,] 0.0008770754 0.001929834 0.0004983702
#>  [89,] 0.0008797150 0.001929834 0.0004983702
#>  [90,] 0.0008823452 0.001929834 0.0004983702
#>  [91,] 0.0008849661 0.001929834 0.0004983702
#>  [92,] 0.0008875780 0.001929834 0.0004983702
#>  [93,] 0.0008901808 0.001929834 0.0004983702
#>  [94,] 0.0008927749 0.001929834 0.0004983702
#>  [95,] 0.0008953603 0.001929834 0.0004983702
#>  [96,] 0.0008979371 0.001929834 0.0004983702
#>  [97,] 0.0009005056 0.001929834 0.0004983702
#>  [98,] 0.0009030657 0.001929834 0.0004983702
#>  [99,] 0.0009056177 0.001929834 0.0004983702
#> [100,] 0.0009081617 0.001929834 0.0004983702
#> 
#> $interventions_vec$LLINs_example$effects$PBi
#>              [,1] [,2] [,3]
#>   [1,] 0.08204385 0.95 0.95
#>   [2,] 0.08293729 0.95 0.95
#>   [3,] 0.08440582 0.95 0.95
#>   [4,] 0.08638883 0.95 0.95
#>   [5,] 0.08881730 0.95 0.95
#>   [6,] 0.09163172 0.95 0.95
#>   [7,] 0.09478643 0.95 0.95
#>   [8,] 0.09824786 0.95 0.95
#>   [9,] 0.10199155 0.95 0.95
#>  [10,] 0.10599946 0.95 0.95
#>  [11,] 0.11025804 0.95 0.95
#>  [12,] 0.11475676 0.95 0.95
#>  [13,] 0.11948719 0.95 0.95
#>  [14,] 0.12444236 0.95 0.95
#>  [15,] 0.12961623 0.95 0.95
#>  [16,] 0.13500342 0.95 0.95
#>  [17,] 0.14059895 0.95 0.95
#>  [18,] 0.14639806 0.95 0.95
#>  [19,] 0.15239612 0.95 0.95
#>  [20,] 0.15858848 0.95 0.95
#>  [21,] 0.16497047 0.95 0.95
#>  [22,] 0.17153729 0.95 0.95
#>  [23,] 0.17828401 0.95 0.95
#>  [24,] 0.18520550 0.95 0.95
#>  [25,] 0.19229649 0.95 0.95
#>  [26,] 0.19955145 0.95 0.95
#>  [27,] 0.20696469 0.95 0.95
#>  [28,] 0.21453027 0.95 0.95
#>  [29,] 0.22224207 0.95 0.95
#>  [30,] 0.23009374 0.95 0.95
#>  [31,] 0.23807875 0.95 0.95
#>  [32,] 0.24619038 0.95 0.95
#>  [33,] 0.25442173 0.95 0.95
#>  [34,] 0.26276575 0.95 0.95
#>  [35,] 0.27121523 0.95 0.95
#>  [36,] 0.27976285 0.95 0.95
#>  [37,] 0.28840118 0.95 0.95
#>  [38,] 0.29712268 0.95 0.95
#>  [39,] 0.30591976 0.95 0.95
#>  [40,] 0.31478478 0.95 0.95
#>  [41,] 0.32371005 0.95 0.95
#>  [42,] 0.33268789 0.95 0.95
#>  [43,] 0.34171062 0.95 0.95
#>  [44,] 0.35077061 0.95 0.95
#>  [45,] 0.35986024 0.95 0.95
#>  [46,] 0.36897200 0.95 0.95
#>  [47,] 0.37809846 0.95 0.95
#>  [48,] 0.38723228 0.95 0.95
#>  [49,] 0.39636626 0.95 0.95
#>  [50,] 0.40549334 0.95 0.95
#>  [51,] 0.41460661 0.95 0.95
#>  [52,] 0.42369934 0.95 0.95
#>  [53,] 0.43276498 0.95 0.95
#>  [54,] 0.44179716 0.95 0.95
#>  [55,] 0.45078974 0.95 0.95
#>  [56,] 0.45973679 0.95 0.95
#>  [57,] 0.46863260 0.95 0.95
#>  [58,] 0.47747170 0.95 0.95
#>  [59,] 0.48624884 0.95 0.95
#>  [60,] 0.49495905 0.95 0.95
#>  [61,] 0.50359758 0.95 0.95
#>  [62,] 0.51215994 0.95 0.95
#>  [63,] 0.52064190 0.95 0.95
#>  [64,] 0.52903945 0.95 0.95
#>  [65,] 0.53734889 0.95 0.95
#>  [66,] 0.54556672 0.95 0.95
#>  [67,] 0.55368973 0.95 0.95
#>  [68,] 0.56171492 0.95 0.95
#>  [69,] 0.56963956 0.95 0.95
#>  [70,] 0.57746117 0.95 0.95
#>  [71,] 0.58517746 0.95 0.95
#>  [72,] 0.59278642 0.95 0.95
#>  [73,] 0.60028622 0.95 0.95
#>  [74,] 0.60767529 0.95 0.95
#>  [75,] 0.61495224 0.95 0.95
#>  [76,] 0.62211588 0.95 0.95
#>  [77,] 0.62916525 0.95 0.95
#>  [78,] 0.63609954 0.95 0.95
#>  [79,] 0.64291814 0.95 0.95
#>  [80,] 0.64962062 0.95 0.95
#>  [81,] 0.65620669 0.95 0.95
#>  [82,] 0.66267625 0.95 0.95
#>  [83,] 0.66902931 0.95 0.95
#>  [84,] 0.67526607 0.95 0.95
#>  [85,] 0.68138681 0.95 0.95
#>  [86,] 0.68739198 0.95 0.95
#>  [87,] 0.69328212 0.95 0.95
#>  [88,] 0.69905789 0.95 0.95
#>  [89,] 0.70472006 0.95 0.95
#>  [90,] 0.71026948 0.95 0.95
#>  [91,] 0.71570711 0.95 0.95
#>  [92,] 0.72103397 0.95 0.95
#>  [93,] 0.72625117 0.95 0.95
#>  [94,] 0.73135989 0.95 0.95
#>  [95,] 0.73636137 0.95 0.95
#>  [96,] 0.74125689 0.95 0.95
#>  [97,] 0.74604782 0.95 0.95
#>  [98,] 0.75073554 0.95 0.95
#>  [99,] 0.75532150 0.95 0.95
#> [100,] 0.75980715 0.95 0.95
#> 
#> $interventions_vec$LLINs_example$effects$PCi
#>             [,1] [,2] [,3]
#>   [1,] 0.3762045 0.95 0.95
#>   [2,] 0.3820040 0.95 0.95
#>   [3,] 0.3895555 0.95 0.95
#>   [4,] 0.3981373 0.95 0.95
#>   [5,] 0.4071597 0.95 0.95
#>   [6,] 0.4162515 0.95 0.95
#>   [7,] 0.4252136 0.95 0.95
#>   [8,] 0.4339534 0.95 0.95
#>   [9,] 0.4424364 0.95 0.95
#>  [10,] 0.4506579 0.95 0.95
#>  [11,] 0.4586275 0.95 0.95
#>  [12,] 0.4663606 0.95 0.95
#>  [13,] 0.4738747 0.95 0.95
#>  [14,] 0.4811870 0.95 0.95
#>  [15,] 0.4883135 0.95 0.95
#>  [16,] 0.4952690 0.95 0.95
#>  [17,] 0.5020666 0.95 0.95
#>  [18,] 0.5087179 0.95 0.95
#>  [19,] 0.5152332 0.95 0.95
#>  [20,] 0.5216217 0.95 0.95
#>  [21,] 0.5278914 0.95 0.95
#>  [22,] 0.5340493 0.95 0.95
#>  [23,] 0.5401017 0.95 0.95
#>  [24,] 0.5460541 0.95 0.95
#>  [25,] 0.5519114 0.95 0.95
#>  [26,] 0.5576779 0.95 0.95
#>  [27,] 0.5633577 0.95 0.95
#>  [28,] 0.5689540 0.95 0.95
#>  [29,] 0.5744701 0.95 0.95
#>  [30,] 0.5799086 0.95 0.95
#>  [31,] 0.5852722 0.95 0.95
#>  [32,] 0.5905630 0.95 0.95
#>  [33,] 0.5957830 0.95 0.95
#>  [34,] 0.6009342 0.95 0.95
#>  [35,] 0.6060181 0.95 0.95
#>  [36,] 0.6110363 0.95 0.95
#>  [37,] 0.6159902 0.95 0.95
#>  [38,] 0.6208811 0.95 0.95
#>  [39,] 0.6257101 0.95 0.95
#>  [40,] 0.6304782 0.95 0.95
#>  [41,] 0.6351866 0.95 0.95
#>  [42,] 0.6398360 0.95 0.95
#>  [43,] 0.6444273 0.95 0.95
#>  [44,] 0.6489614 0.95 0.95
#>  [45,] 0.6534390 0.95 0.95
#>  [46,] 0.6578607 0.95 0.95
#>  [47,] 0.6622272 0.95 0.95
#>  [48,] 0.6665392 0.95 0.95
#>  [49,] 0.6707972 0.95 0.95
#>  [50,] 0.6750019 0.95 0.95
#>  [51,] 0.6791536 0.95 0.95
#>  [52,] 0.6832530 0.95 0.95
#>  [53,] 0.6873005 0.95 0.95
#>  [54,] 0.6912967 0.95 0.95
#>  [55,] 0.6952419 0.95 0.95
#>  [56,] 0.6991367 0.95 0.95
#>  [57,] 0.7029815 0.95 0.95
#>  [58,] 0.7067766 0.95 0.95
#>  [59,] 0.7105226 0.95 0.95
#>  [60,] 0.7142199 0.95 0.95
#>  [61,] 0.7178688 0.95 0.95
#>  [62,] 0.7214698 0.95 0.95
#>  [63,] 0.7250233 0.95 0.95
#>  [64,] 0.7285296 0.95 0.95
#>  [65,] 0.7319892 0.95 0.95
#>  [66,] 0.7354025 0.95 0.95
#>  [67,] 0.7387699 0.95 0.95
#>  [68,] 0.7420917 0.95 0.95
#>  [69,] 0.7453683 0.95 0.95
#>  [70,] 0.7486002 0.95 0.95
#>  [71,] 0.7517878 0.95 0.95
#>  [72,] 0.7549314 0.95 0.95
#>  [73,] 0.7580313 0.95 0.95
#>  [74,] 0.7610882 0.95 0.95
#>  [75,] 0.7641022 0.95 0.95
#>  [76,] 0.7670738 0.95 0.95
#>  [77,] 0.7700035 0.95 0.95
#>  [78,] 0.7728915 0.95 0.95
#>  [79,] 0.7757384 0.95 0.95
#>  [80,] 0.7785444 0.95 0.95
#>  [81,] 0.7813101 0.95 0.95
#>  [82,] 0.7840357 0.95 0.95
#>  [83,] 0.7867218 0.95 0.95
#>  [84,] 0.7893687 0.95 0.95
#>  [85,] 0.7919767 0.95 0.95
#>  [86,] 0.7945464 0.95 0.95
#>  [87,] 0.7970782 0.95 0.95
#>  [88,] 0.7995723 0.95 0.95
#>  [89,] 0.8020293 0.95 0.95
#>  [90,] 0.8044496 0.95 0.95
#>  [91,] 0.8068334 0.95 0.95
#>  [92,] 0.8091814 0.95 0.95
#>  [93,] 0.8114938 0.95 0.95
#>  [94,] 0.8137710 0.95 0.95
#>  [95,] 0.8160135 0.95 0.95
#>  [96,] 0.8182217 0.95 0.95
#>  [97,] 0.8203960 0.95 0.95
#>  [98,] 0.8225368 0.95 0.95
#>  [99,] 0.8246445 0.95 0.95
#> [100,] 0.8267194 0.95 0.95
#> 
#> $interventions_vec$LLINs_example$effects$PDi
#>        [,1] [,2] [,3]
#>   [1,] 0.99 0.99 0.99
#>   [2,] 0.99 0.99 0.99
#>   [3,] 0.99 0.99 0.99
#>   [4,] 0.99 0.99 0.99
#>   [5,] 0.99 0.99 0.99
#>   [6,] 0.99 0.99 0.99
#>   [7,] 0.99 0.99 0.99
#>   [8,] 0.99 0.99 0.99
#>   [9,] 0.99 0.99 0.99
#>  [10,] 0.99 0.99 0.99
#>  [11,] 0.99 0.99 0.99
#>  [12,] 0.99 0.99 0.99
#>  [13,] 0.99 0.99 0.99
#>  [14,] 0.99 0.99 0.99
#>  [15,] 0.99 0.99 0.99
#>  [16,] 0.99 0.99 0.99
#>  [17,] 0.99 0.99 0.99
#>  [18,] 0.99 0.99 0.99
#>  [19,] 0.99 0.99 0.99
#>  [20,] 0.99 0.99 0.99
#>  [21,] 0.99 0.99 0.99
#>  [22,] 0.99 0.99 0.99
#>  [23,] 0.99 0.99 0.99
#>  [24,] 0.99 0.99 0.99
#>  [25,] 0.99 0.99 0.99
#>  [26,] 0.99 0.99 0.99
#>  [27,] 0.99 0.99 0.99
#>  [28,] 0.99 0.99 0.99
#>  [29,] 0.99 0.99 0.99
#>  [30,] 0.99 0.99 0.99
#>  [31,] 0.99 0.99 0.99
#>  [32,] 0.99 0.99 0.99
#>  [33,] 0.99 0.99 0.99
#>  [34,] 0.99 0.99 0.99
#>  [35,] 0.99 0.99 0.99
#>  [36,] 0.99 0.99 0.99
#>  [37,] 0.99 0.99 0.99
#>  [38,] 0.99 0.99 0.99
#>  [39,] 0.99 0.99 0.99
#>  [40,] 0.99 0.99 0.99
#>  [41,] 0.99 0.99 0.99
#>  [42,] 0.99 0.99 0.99
#>  [43,] 0.99 0.99 0.99
#>  [44,] 0.99 0.99 0.99
#>  [45,] 0.99 0.99 0.99
#>  [46,] 0.99 0.99 0.99
#>  [47,] 0.99 0.99 0.99
#>  [48,] 0.99 0.99 0.99
#>  [49,] 0.99 0.99 0.99
#>  [50,] 0.99 0.99 0.99
#>  [51,] 0.99 0.99 0.99
#>  [52,] 0.99 0.99 0.99
#>  [53,] 0.99 0.99 0.99
#>  [54,] 0.99 0.99 0.99
#>  [55,] 0.99 0.99 0.99
#>  [56,] 0.99 0.99 0.99
#>  [57,] 0.99 0.99 0.99
#>  [58,] 0.99 0.99 0.99
#>  [59,] 0.99 0.99 0.99
#>  [60,] 0.99 0.99 0.99
#>  [61,] 0.99 0.99 0.99
#>  [62,] 0.99 0.99 0.99
#>  [63,] 0.99 0.99 0.99
#>  [64,] 0.99 0.99 0.99
#>  [65,] 0.99 0.99 0.99
#>  [66,] 0.99 0.99 0.99
#>  [67,] 0.99 0.99 0.99
#>  [68,] 0.99 0.99 0.99
#>  [69,] 0.99 0.99 0.99
#>  [70,] 0.99 0.99 0.99
#>  [71,] 0.99 0.99 0.99
#>  [72,] 0.99 0.99 0.99
#>  [73,] 0.99 0.99 0.99
#>  [74,] 0.99 0.99 0.99
#>  [75,] 0.99 0.99 0.99
#>  [76,] 0.99 0.99 0.99
#>  [77,] 0.99 0.99 0.99
#>  [78,] 0.99 0.99 0.99
#>  [79,] 0.99 0.99 0.99
#>  [80,] 0.99 0.99 0.99
#>  [81,] 0.99 0.99 0.99
#>  [82,] 0.99 0.99 0.99
#>  [83,] 0.99 0.99 0.99
#>  [84,] 0.99 0.99 0.99
#>  [85,] 0.99 0.99 0.99
#>  [86,] 0.99 0.99 0.99
#>  [87,] 0.99 0.99 0.99
#>  [88,] 0.99 0.99 0.99
#>  [89,] 0.99 0.99 0.99
#>  [90,] 0.99 0.99 0.99
#>  [91,] 0.99 0.99 0.99
#>  [92,] 0.99 0.99 0.99
#>  [93,] 0.99 0.99 0.99
#>  [94,] 0.99 0.99 0.99
#>  [95,] 0.99 0.99 0.99
#>  [96,] 0.99 0.99 0.99
#>  [97,] 0.99 0.99 0.99
#>  [98,] 0.99 0.99 0.99
#>  [99,] 0.99 0.99 0.99
#> [100,] 0.99 0.99 0.99
#> 
#> $interventions_vec$LLINs_example$effects$PEi
#>        [,1] [,2] [,3]
#>   [1,] 0.88 0.88 0.88
#>   [2,] 0.88 0.88 0.88
#>   [3,] 0.88 0.88 0.88
#>   [4,] 0.88 0.88 0.88
#>   [5,] 0.88 0.88 0.88
#>   [6,] 0.88 0.88 0.88
#>   [7,] 0.88 0.88 0.88
#>   [8,] 0.88 0.88 0.88
#>   [9,] 0.88 0.88 0.88
#>  [10,] 0.88 0.88 0.88
#>  [11,] 0.88 0.88 0.88
#>  [12,] 0.88 0.88 0.88
#>  [13,] 0.88 0.88 0.88
#>  [14,] 0.88 0.88 0.88
#>  [15,] 0.88 0.88 0.88
#>  [16,] 0.88 0.88 0.88
#>  [17,] 0.88 0.88 0.88
#>  [18,] 0.88 0.88 0.88
#>  [19,] 0.88 0.88 0.88
#>  [20,] 0.88 0.88 0.88
#>  [21,] 0.88 0.88 0.88
#>  [22,] 0.88 0.88 0.88
#>  [23,] 0.88 0.88 0.88
#>  [24,] 0.88 0.88 0.88
#>  [25,] 0.88 0.88 0.88
#>  [26,] 0.88 0.88 0.88
#>  [27,] 0.88 0.88 0.88
#>  [28,] 0.88 0.88 0.88
#>  [29,] 0.88 0.88 0.88
#>  [30,] 0.88 0.88 0.88
#>  [31,] 0.88 0.88 0.88
#>  [32,] 0.88 0.88 0.88
#>  [33,] 0.88 0.88 0.88
#>  [34,] 0.88 0.88 0.88
#>  [35,] 0.88 0.88 0.88
#>  [36,] 0.88 0.88 0.88
#>  [37,] 0.88 0.88 0.88
#>  [38,] 0.88 0.88 0.88
#>  [39,] 0.88 0.88 0.88
#>  [40,] 0.88 0.88 0.88
#>  [41,] 0.88 0.88 0.88
#>  [42,] 0.88 0.88 0.88
#>  [43,] 0.88 0.88 0.88
#>  [44,] 0.88 0.88 0.88
#>  [45,] 0.88 0.88 0.88
#>  [46,] 0.88 0.88 0.88
#>  [47,] 0.88 0.88 0.88
#>  [48,] 0.88 0.88 0.88
#>  [49,] 0.88 0.88 0.88
#>  [50,] 0.88 0.88 0.88
#>  [51,] 0.88 0.88 0.88
#>  [52,] 0.88 0.88 0.88
#>  [53,] 0.88 0.88 0.88
#>  [54,] 0.88 0.88 0.88
#>  [55,] 0.88 0.88 0.88
#>  [56,] 0.88 0.88 0.88
#>  [57,] 0.88 0.88 0.88
#>  [58,] 0.88 0.88 0.88
#>  [59,] 0.88 0.88 0.88
#>  [60,] 0.88 0.88 0.88
#>  [61,] 0.88 0.88 0.88
#>  [62,] 0.88 0.88 0.88
#>  [63,] 0.88 0.88 0.88
#>  [64,] 0.88 0.88 0.88
#>  [65,] 0.88 0.88 0.88
#>  [66,] 0.88 0.88 0.88
#>  [67,] 0.88 0.88 0.88
#>  [68,] 0.88 0.88 0.88
#>  [69,] 0.88 0.88 0.88
#>  [70,] 0.88 0.88 0.88
#>  [71,] 0.88 0.88 0.88
#>  [72,] 0.88 0.88 0.88
#>  [73,] 0.88 0.88 0.88
#>  [74,] 0.88 0.88 0.88
#>  [75,] 0.88 0.88 0.88
#>  [76,] 0.88 0.88 0.88
#>  [77,] 0.88 0.88 0.88
#>  [78,] 0.88 0.88 0.88
#>  [79,] 0.88 0.88 0.88
#>  [80,] 0.88 0.88 0.88
#>  [81,] 0.88 0.88 0.88
#>  [82,] 0.88 0.88 0.88
#>  [83,] 0.88 0.88 0.88
#>  [84,] 0.88 0.88 0.88
#>  [85,] 0.88 0.88 0.88
#>  [86,] 0.88 0.88 0.88
#>  [87,] 0.88 0.88 0.88
#>  [88,] 0.88 0.88 0.88
#>  [89,] 0.88 0.88 0.88
#>  [90,] 0.88 0.88 0.88
#>  [91,] 0.88 0.88 0.88
#>  [92,] 0.88 0.88 0.88
#>  [93,] 0.88 0.88 0.88
#>  [94,] 0.88 0.88 0.88
#>  [95,] 0.88 0.88 0.88
#>  [96,] 0.88 0.88 0.88
#>  [97,] 0.88 0.88 0.88
#>  [98,] 0.88 0.88 0.88
#>  [99,] 0.88 0.88 0.88
#> [100,] 0.88 0.88 0.88
#> 
#> $interventions_vec$LLINs_example$effects$survival
#>   [1] 0.9999906 0.9999155 0.9997654 0.9995402 0.9992400 0.9988649 0.9984149
#>   [8] 0.9978901 0.9972907 0.9966168 0.9958684 0.9950458 0.9941491 0.9931784
#>  [15] 0.9921341 0.9910162 0.9898250 0.9885608 0.9872238 0.9858142 0.9843324
#>  [22] 0.9827787 0.9811533 0.9794565 0.9776888 0.9758504 0.9739418 0.9719632
#>  [29] 0.9699152 0.9677980 0.9656122 0.9633581 0.9610363 0.9586470 0.9561910
#>  [36] 0.9536685 0.9510801 0.9484263 0.9457077 0.9429247 0.9400779 0.9371679
#>  [43] 0.9341952 0.9311605 0.9280642 0.9249071 0.9216897 0.9184126 0.9150764
#>  [50] 0.9116820 0.9082297 0.9047204 0.9011548 0.8975334 0.8938570 0.8901263
#>  [57] 0.8863421 0.8825049 0.8786156 0.8746749 0.8706836 0.8666423 0.8625519
#>  [64] 0.8584132 0.8542268 0.8499937 0.8457145 0.8413901 0.8370213 0.8326089
#>  [71] 0.8281537 0.8236566 0.8191183 0.8145398 0.8099217 0.8052651 0.8005707
#>  [78] 0.7958394 0.7910721 0.7862695 0.7814327 0.7765624 0.7716595 0.7667249
#>  [85] 0.7617595 0.7567642 0.7517398 0.7466872 0.7416073 0.7365011 0.7313693
#>  [92] 0.7262129 0.7210328 0.7158299 0.7106051 0.7053592 0.7000932 0.6948079
#>  [99] 0.6895043 0.6841832
#> 
#> $interventions_vec$LLINs_example$effects$alphai_decay
#>   [1] 0.7229776 0.7216863 0.7189185 0.7152477 0.7111510 0.7069338 0.7027638
#>   [8] 0.6987222 0.6948421 0.6911314 0.6875857 0.6841949 0.6809470 0.6778297
#>  [15] 0.6748309 0.6719398 0.6691464 0.6664418 0.6638181 0.6612682 0.6587859
#>  [22] 0.6563655 0.6540020 0.6516911 0.6494287 0.6472114 0.6450358 0.6428991
#>  [29] 0.6407988 0.6387324 0.6366979 0.6346932 0.6327167 0.6307667 0.6288417
#>  [36] 0.6269404 0.6250616 0.6232041 0.6213668 0.6195488 0.6177492 0.6159672
#>  [43] 0.6142019 0.6124528 0.6107190 0.6089999 0.6072951 0.6056039 0.6039259
#>  [50] 0.6022605 0.6006074 0.5989660 0.5973361 0.5957172 0.5941090 0.5925111
#>  [57] 0.5909233 0.5893452 0.5877766 0.5862172 0.5846667 0.5831250 0.5815917
#>  [64] 0.5800667 0.5785497 0.5770406 0.5755391 0.5740452 0.5725586 0.5710791
#>  [71] 0.5696066 0.5681410 0.5666821 0.5652297 0.5637837 0.5623441 0.5609106
#>  [78] 0.5594831 0.5580616 0.5566459 0.5552360 0.5538316 0.5524327 0.5510393
#>  [85] 0.5496511 0.5482682 0.5468904 0.5455177 0.5441499 0.5427870 0.5414288
#>  [92] 0.5400754 0.5387267 0.5373825 0.5360428 0.5347076 0.5333766 0.5320500
#>  [99] 0.5307276 0.5294094
#> 
#> $interventions_vec$LLINs_example$effects$PBi_decay
#>   [1] 0.9136381 0.9126976 0.9111518 0.9090644 0.9065081 0.9035456 0.9002248
#>   [8] 0.8965812 0.8926405 0.8884216 0.8839389 0.8792034 0.8742240 0.8690080
#>  [15] 0.8635619 0.8578911 0.8520011 0.8458968 0.8395830 0.8330648 0.8263469
#>  [22] 0.8194344 0.8123326 0.8050468 0.7975826 0.7899458 0.7821424 0.7741787
#>  [29] 0.7660610 0.7577961 0.7493908 0.7408522 0.7321877 0.7234045 0.7145103
#>  [36] 0.7055128 0.6964198 0.6872393 0.6779792 0.6686476 0.6592526 0.6498022
#>  [43] 0.6403046 0.6307678 0.6211997 0.6116084 0.6020016 0.5923871 0.5827724
#>  [50] 0.5731649 0.5635720 0.5540007 0.5444579 0.5349504 0.5254845 0.5160665
#>  [57] 0.5067025 0.4973982 0.4881591 0.4789905 0.4698973 0.4608843 0.4519559
#>  [64] 0.4431164 0.4343696 0.4257192 0.4171687 0.4087211 0.4003794 0.3921461
#>  [71] 0.3840237 0.3760143 0.3681198 0.3603418 0.3526819 0.3451412 0.3377208
#>  [78] 0.3304215 0.3232441 0.3161888 0.3092561 0.3024461 0.2957586 0.2891936
#>  [85] 0.2827507 0.2764295 0.2702294 0.2641496 0.2581894 0.2523479 0.2466241
#>  [92] 0.2410169 0.2355251 0.2301475 0.2248828 0.2197296 0.2146865 0.2097521
#>  [99] 0.2049247 0.2002030
#> 
#> $interventions_vec$LLINs_example$effects$PCi_decay
#>   [1] 0.6039953 0.5978905 0.5899416 0.5809081 0.5714108 0.5618405 0.5524067
#>   [8] 0.5432070 0.5342775 0.5256233 0.5172342 0.5090941 0.5011845 0.4934874
#>  [15] 0.4859858 0.4786642 0.4715089 0.4645075 0.4576492 0.4509245 0.4443248
#>  [22] 0.4378428 0.4314719 0.4252062 0.4190407 0.4129706 0.4069919 0.4011010
#>  [29] 0.3952946 0.3895698 0.3839240 0.3783548 0.3728600 0.3674377 0.3620862
#>  [36] 0.3568039 0.3515892 0.3464409 0.3413578 0.3363387 0.3313826 0.3264884
#>  [43] 0.3216554 0.3168827 0.3121695 0.3075151 0.3029187 0.2983798 0.2938976
#>  [50] 0.2894717 0.2851015 0.2807863 0.2765258 0.2723193 0.2681664 0.2640666
#>  [57] 0.2600195 0.2560246 0.2520814 0.2481896 0.2443486 0.2405581 0.2368176
#>  [64] 0.2331267 0.2294850 0.2258921 0.2223475 0.2188509 0.2154018 0.2119997
#>  [71] 0.2086444 0.2053354 0.2020723 0.1988546 0.1956819 0.1925539 0.1894700
#>  [78] 0.1864300 0.1834333 0.1804796 0.1775684 0.1746992 0.1718718 0.1690856
#>  [85] 0.1663403 0.1636353 0.1609703 0.1583449 0.1557586 0.1532110 0.1507016
#>  [92] 0.1482301 0.1457960 0.1433989 0.1410384 0.1387139 0.1364252 0.1341718
#>  [99] 0.1319532 0.1297691
#> 
#> $interventions_vec$LLINs_example$effects$vc
#>            [,1]     [,2]     [,3]     [,4]     [,5]     [,6]      [,7]
#>   [1,] 6.766534 5.101264 3.732279 2.630636 1.767627 1.114648 0.6431199
#>   [2,] 6.766534 5.099280 3.729444 2.627733 1.765137 1.112809 0.6419777
#>   [3,] 6.766534 5.094497 3.722555 2.620597 1.758921 1.108107 0.6389328
#>   [4,] 6.766534 5.088184 3.713484 2.611224 1.750778 1.101968 0.6349752
#>   [5,] 6.766534 5.081385 3.703763 2.601241 1.742171 1.095547 0.6309024
#>   [6,] 6.766534 5.074756 3.694354 2.591661 1.734006 1.089556 0.6272017
#>   [7,] 6.766534 5.068653 3.685768 2.583022 1.726758 1.084360 0.6241219
#>   [8,] 6.766534 5.063239 3.678241 2.575563 1.720636 1.080120 0.6217689
#>   [9,] 6.766534 5.058578 3.671859 2.569371 1.715710 1.076887 0.6201739
#>  [10,] 6.766534 5.054679 3.666632 2.564449 1.711981 1.074657 0.6193325
#>  [11,] 6.766534 5.051527 3.662533 2.560768 1.709416 1.073403 0.6192252
#>  [12,] 6.766534 5.049097 3.659524 2.558283 1.707975 1.073092 0.6198278
#>  [13,] 6.766534 5.047361 3.657559 2.556944 1.707612 1.073686 0.6211163
#>  [14,] 6.766534 5.046290 3.656597 2.556706 1.708285 1.075153 0.6230690
#>  [15,] 6.766534 5.045858 3.656598 2.557526 1.709957 1.077465 0.6256675
#>  [16,] 6.766534 5.046039 3.657524 2.559366 1.712593 1.080596 0.6288968
#>  [17,] 6.766534 5.046813 3.659346 2.562193 1.716166 1.084526 0.6327448
#>  [18,] 6.766534 5.048159 3.662034 2.565978 1.720650 1.089236 0.6372026
#>  [19,] 6.766534 5.050060 3.665563 2.570695 1.726024 1.094714 0.6422636
#>  [20,] 6.766534 5.052502 3.669911 2.576322 1.732271 1.100947 0.6479238
#>  [21,] 6.766534 5.055468 3.675058 2.582840 1.739376 1.107928 0.6541810
#>  [22,] 6.766534 5.058947 3.680987 2.590232 1.747327 1.115649 0.6610346
#>  [23,] 6.766534 5.062926 3.687681 2.598483 1.756112 1.124106 0.6684857
#>  [24,] 6.766534 5.067394 3.695125 2.607579 1.765722 1.133296 0.6765366
#>  [25,] 6.766534 5.072341 3.703306 2.617508 1.776150 1.143215 0.6851909
#>  [26,] 6.766534 5.077757 3.712211 2.628260 1.787389 1.153865 0.6944528
#>  [27,] 6.766534 5.083632 3.721827 2.639823 1.799434 1.165243 0.7043278
#>  [28,] 6.766534 5.089956 3.732143 2.652189 1.812279 1.177351 0.7148216
#>  [29,] 6.766534 5.096720 3.743146 2.665346 1.825919 1.190190 0.7259408
#>  [30,] 6.766534 5.103915 3.754825 2.679288 1.840351 1.203762 0.7376924
#>  [31,] 6.766534 5.111532 3.767169 2.694003 1.855570 1.218067 0.7500839
#>  [32,] 6.766534 5.119561 3.780167 2.709484 1.871573 1.233109 0.7631228
#>  [33,] 6.766534 5.127993 3.793807 2.725721 1.888355 1.248890 0.7768171
#>  [34,] 6.766534 5.136818 3.808076 2.742706 1.905912 1.265410 0.7911747
#>  [35,] 6.766534 5.146026 3.822963 2.760428 1.924241 1.282674 0.8062038
#>  [36,] 6.766534 5.155608 3.838457 2.778877 1.943336 1.300681 0.8219123
#>  [37,] 6.766534 5.165554 3.854543 2.798045 1.963193 1.319435 0.8383082
#>  [38,] 6.766534 5.175853 3.871209 2.817919 1.983806 1.338935 0.8553992
#>  [39,] 6.766534 5.186494 3.888442 2.838490 2.005170 1.359184 0.8731930
#>  [40,] 6.766534 5.197467 3.906228 2.859746 2.027279 1.380182 0.8916966
#>  [41,] 6.766534 5.208761 3.924553 2.881674 2.050126 1.401928 0.9109170
#>  [42,] 6.766534 5.220364 3.943403 2.904262 2.073704 1.424422 0.9308607
#>  [43,] 6.766534 5.232265 3.962761 2.927497 2.098004 1.447664 0.9515335
#>  [44,] 6.766534 5.244453 3.982614 2.951366 2.123018 1.471650 0.9729409
#>  [45,] 6.766534 5.256915 4.002946 2.975854 2.148738 1.496380 0.9950877
#>  [46,] 6.766534 5.269641 4.023739 3.000947 2.175153 1.521849 1.0179781
#>  [47,] 6.766534 5.282616 4.044979 3.026629 2.202252 1.548054 1.0416155
#>  [48,] 6.766534 5.295831 4.066649 3.052885 2.230025 1.574990 1.0660028
#>  [49,] 6.766534 5.309272 4.088731 3.079699 2.258460 1.602652 1.0911417
#>  [50,] 6.766534 5.322926 4.111208 3.107053 2.287544 1.631033 1.1170335
#>  [51,] 6.766534 5.336782 4.134062 3.134931 2.317263 1.660127 1.1436784
#>  [52,] 6.766534 5.350827 4.157277 3.163315 2.347604 1.689925 1.1710757
#>  [53,] 6.766534 5.365049 4.180834 3.192186 2.378552 1.720419 1.1992238
#>  [54,] 6.766534 5.379435 4.204715 3.221527 2.410092 1.751599 1.2281203
#>  [55,] 6.766534 5.393974 4.228902 3.251318 2.442207 1.783454 1.2577616
#>  [56,] 6.766534 5.408651 4.253377 3.281540 2.474882 1.815974 1.2881433
#>  [57,] 6.766534 5.423457 4.278122 3.312174 2.508099 1.849146 1.3192598
#>  [58,] 6.766534 5.438378 4.303117 3.343200 2.541841 1.882958 1.3511046
#>  [59,] 6.766534 5.453402 4.328346 3.374597 2.576089 1.917394 1.3836703
#>  [60,] 6.766534 5.468518 4.353790 3.406347 2.610825 1.952442 1.4169482
#>  [61,] 6.766534 5.483714 4.379431 3.438428 2.646029 1.988085 1.4509290
#>  [62,] 6.766534 5.498979 4.405250 3.470819 2.681682 2.024308 1.4856020
#>  [63,] 6.766534 5.514302 4.431231 3.503501 2.717763 2.061094 1.5209558
#>  [64,] 6.766534 5.529671 4.457355 3.536453 2.754254 2.098425 1.5569779
#>  [65,] 6.766534 5.545077 4.483605 3.569654 2.791132 2.136283 1.5936549
#>  [66,] 6.766534 5.560508 4.509964 3.603084 2.828378 2.174650 1.6309724
#>  [67,] 6.766534 5.575954 4.536414 3.636722 2.865969 2.213507 1.6689154
#>  [68,] 6.766534 5.591405 4.562940 3.670548 2.903886 2.252833 1.7074677
#>  [69,] 6.766534 5.606853 4.589525 3.704541 2.942105 2.292609 1.7466124
#>  [70,] 6.766534 5.622287 4.616153 3.738683 2.980607 2.332814 1.7863320
#>  [71,] 6.766534 5.637698 4.642809 3.772952 3.019368 2.373426 1.8266081
#>  [72,] 6.766534 5.653079 4.669476 3.807330 3.058369 2.414426 1.8674216
#>  [73,] 6.766534 5.668420 4.696141 3.841797 3.097587 2.455790 1.9087529
#>  [74,] 6.766534 5.683714 4.722789 3.876334 3.137000 2.497497 1.9505816
#>  [75,] 6.766534 5.698952 4.749406 3.910923 3.176588 2.539525 1.9928869
#>  [76,] 6.766534 5.714128 4.775978 3.945545 3.216329 2.581852 2.0356476
#>  [77,] 6.766534 5.729234 4.802492 3.980183 3.256203 2.624455 2.0788418
#>  [78,] 6.766534 5.744264 4.828936 4.014819 3.296188 2.667313 2.1224475
#>  [79,] 6.766534 5.759211 4.855297 4.049435 3.336264 2.710402 2.1664420
#>  [80,] 6.766534 5.774069 4.881563 4.084016 3.376411 2.753701 2.2108028
#>  [81,] 6.766534 5.788833 4.907724 4.118545 3.416608 2.797187 2.2555068
#>  [82,] 6.766534 5.803497 4.933768 4.153007 3.456838 2.840837 2.3005308
#>  [83,] 6.766534 5.818055 4.959684 4.187386 3.497079 2.884631 2.3458515
#>  [84,] 6.766534 5.832504 4.985464 4.221667 3.537313 2.928547 2.3914456
#>  [85,] 6.766534 5.846838 5.011098 4.255836 3.577523 2.972562 2.4372897
#>  [86,] 6.766534 5.861054 5.036576 4.289881 3.617689 3.016655 2.4833603
#>  [87,] 6.766534 5.875147 5.061890 4.323786 3.657795 3.060806 2.5296343
#>  [88,] 6.766534 5.889114 5.087033 4.357541 3.697824 3.104994 2.5760883
#>  [89,] 6.766534 5.902951 5.111995 4.391132 3.737758 3.149199 2.6226995
#>  [90,] 6.766534 5.916656 5.136771 4.424548 3.777583 3.193401 2.6694448
#>  [91,] 6.766534 5.930224 5.161354 4.457777 3.817282 3.237579 2.7163017
#>  [92,] 6.766534 5.943655 5.185736 4.490810 3.856840 3.281717 2.7632480
#>  [93,] 6.766534 5.956946 5.209913 4.523636 3.896244 3.325794 2.8102614
#>  [94,] 6.766534 5.970093 5.233879 4.556245 3.935479 3.369792 2.8573204
#>  [95,] 6.766534 5.983097 5.257629 4.588629 3.974531 3.413695 2.9044037
#>  [96,] 6.766534 5.995954 5.281157 4.620779 4.013389 3.457485 2.9514902
#>  [97,] 6.766534 6.008663 5.304460 4.652686 4.052038 3.501145 2.9985596
#>  [98,] 6.766534 6.021224 5.327534 4.684344 4.090469 3.544659 3.0455917
#>  [99,] 6.766534 6.033634 5.350375 4.715744 4.128669 3.588012 3.0925670
#> [100,] 6.766534 6.045894 5.372980 4.746881 4.166628 3.631190 3.1394664
#>             [,8]      [,9]      [,10]       [,11]       [,12]
#>   [1,] 0.3244466 0.1300382 0.03141854 0.009210722 0.001279654
#>   [2,] 0.3239038 0.1299075 0.03147282 0.009273721 0.001314124
#>   [3,] 0.3223240 0.1293810 0.03148286 0.009356634 0.001370387
#>   [4,] 0.3202857 0.1287149 0.03150871 0.009472870 0.001448413
#>   [5,] 0.3182522 0.1281126 0.03159720 0.009632665 0.001548307
#>   [6,] 0.3165043 0.1276960 0.03177603 0.009842217 0.001670645
#>   [7,] 0.3151831 0.1275254 0.03205901 0.010105062 0.001816542
#>   [8,] 0.3143476 0.1276259 0.03245221 0.010423508 0.001987616
#>   [9,] 0.3140141 0.1280040 0.03295819 0.010799538 0.002185934
#>  [10,] 0.3141792 0.1286588 0.03357824 0.011235289 0.002413968
#>  [11,] 0.3148315 0.1295863 0.03431357 0.011733269 0.002674574
#>  [12,] 0.3159576 0.1307823 0.03516585 0.012296457 0.002970978
#>  [13,] 0.3175451 0.1322436 0.03613740 0.012928340 0.003306775
#>  [14,] 0.3195833 0.1339682 0.03723129 0.013632926 0.003685937
#>  [15,] 0.3220638 0.1359557 0.03845139 0.014414749 0.004112825
#>  [16,] 0.3249807 0.1382069 0.03980230 0.015278867 0.004592200
#>  [17,] 0.3283304 0.1407243 0.04128937 0.016230873 0.005129245
#>  [18,] 0.3321111 0.1435114 0.04291869 0.017276894 0.005729583
#>  [19,] 0.3363230 0.1465732 0.04469705 0.018423605 0.006399297
#>  [20,] 0.3409681 0.1499155 0.04663190 0.019678235 0.007144952
#>  [21,] 0.3460497 0.1535454 0.04873141 0.021048582 0.007973622
#>  [22,] 0.3515724 0.1574707 0.05100441 0.022543024 0.008892908
#>  [23,] 0.3575420 0.1617002 0.05346039 0.024170533 0.009910965
#>  [24,] 0.3639655 0.1662435 0.05610950 0.025940690 0.011036522
#>  [25,] 0.3708506 0.1711111 0.05896259 0.027863698 0.012278908
#>  [26,] 0.3782061 0.1763141 0.06203113 0.029950396 0.013648073
#>  [27,] 0.3860414 0.1818643 0.06532727 0.032212269 0.015154607
#>  [28,] 0.3943667 0.1877743 0.06886381 0.034661461 0.016809761
#>  [29,] 0.4031926 0.1940573 0.07265421 0.037310781 0.018625466
#>  [30,] 0.4125305 0.2007268 0.07671255 0.040173712 0.020614345
#>  [31,] 0.4223920 0.2077973 0.08105359 0.043264416 0.022789729
#>  [32,] 0.4327894 0.2152835 0.08569267 0.046597732 0.025165668
#>  [33,] 0.4437349 0.2232007 0.09064578 0.050189175 0.027756935
#>  [34,] 0.4552415 0.2315645 0.09592948 0.054054932 0.030579031
#>  [35,] 0.4673220 0.2403911 0.10156090 0.058211853 0.033648188
#>  [36,] 0.4799896 0.2496969 0.10755775 0.062677435 0.036981359
#>  [37,] 0.4932574 0.2594987 0.11393824 0.067469808 0.040596214
#>  [38,] 0.5071386 0.2698133 0.12072106 0.072607709 0.044511127
#>  [39,] 0.5216464 0.2806581 0.12792536 0.078110458 0.048745153
#>  [40,] 0.5367940 0.2920502 0.13557072 0.083997925 0.053318009
#>  [41,] 0.5525940 0.3040072 0.14367706 0.090290496 0.058250044
#>  [42,] 0.5690593 0.3165464 0.15226462 0.097009025 0.063562205
#>  [43,] 0.5862022 0.3296851 0.16135392 0.104174797 0.069275997
#>  [44,] 0.6040347 0.3434408 0.17096566 0.111809467 0.075413438
#>  [45,] 0.6225683 0.3578303 0.18112070 0.119935010 0.081997008
#>  [46,] 0.6418142 0.3728707 0.19183997 0.128573659 0.089049595
#>  [47,] 0.6617828 0.3885783 0.20314443 0.137747837 0.096594430
#>  [48,] 0.6824841 0.4049695 0.21505494 0.147480090 0.104655025
#>  [49,] 0.7039274 0.4220599 0.22759225 0.157793013 0.113255099
#>  [50,] 0.7261211 0.4398646 0.24077690 0.168709174 0.122418504
#>  [51,] 0.7490730 0.4583983 0.25462911 0.180251031 0.132169144
#>  [52,] 0.7727900 0.4776749 0.26916876 0.192440851 0.142530892
#>  [53,] 0.7972780 0.4977076 0.28441526 0.205300630 0.153527508
#>  [54,] 0.8225422 0.5185088 0.30038748 0.218851996 0.165182541
#>  [55,] 0.8485865 0.5400900 0.31710369 0.233116132 0.177519247
#>  [56,] 0.8754141 0.5624619 0.33458145 0.248113684 0.190560491
#>  [57,] 0.9030270 0.5856340 0.35283756 0.263864671 0.204328656
#>  [58,] 0.9314261 0.6096151 0.37188795 0.280388401 0.218845548
#>  [59,] 0.9606111 0.6344125 0.39174764 0.297703387 0.234132303
#>  [60,] 0.9905808 0.6600328 0.41243063 0.315827259 0.250209296
#>  [61,] 1.0213327 0.6864810 0.43394986 0.334776684 0.267096049
#>  [62,] 1.0528631 0.7137612 0.45631715 0.354567291 0.284811144
#>  [63,] 1.0851673 0.7418761 0.47954311 0.375213593 0.303372139
#>  [64,] 1.1182392 0.7708272 0.50363710 0.396728920 0.322795482
#>  [65,] 1.1520716 0.8006146 0.52860719 0.419125350 0.343096440
#>  [66,] 1.1866563 0.8312371 0.55446009 0.442413652 0.364289023
#>  [67,] 1.2219838 0.8626924 0.58120115 0.466603229 0.386385915
#>  [68,] 1.2580434 0.8949766 0.60883426 0.491702070 0.409398416
#>  [69,] 1.2948235 0.9280845 0.63736191 0.517716707 0.433336386
#>  [70,] 1.3323112 0.9620096 0.66678509 0.544652180 0.458208191
#>  [71,] 1.3704927 0.9967443 0.69710332 0.572512003 0.484020667
#>  [72,] 1.4093532 1.0322793 0.72831462 0.601298146 0.510779079
#>  [73,] 1.4488766 1.0686044 0.76041553 0.631011015 0.538487095
#>  [74,] 1.4890464 1.1057079 0.79340111 0.661649445 0.567146764
#>  [75,] 1.5298447 1.1435771 0.82726491 0.693210698 0.596758499
#>  [76,] 1.5712530 1.1821978 0.86199906 0.725690463 0.627321077
#>  [77,] 1.6132519 1.2215550 0.89759421 0.759082871 0.658831630
#>  [78,] 1.6558215 1.2616324 0.93403963 0.793380510 0.691285657
#>  [79,] 1.6989409 1.3024126 0.97132321 0.828574450 0.724677038
#>  [80,] 1.7425886 1.3438775 1.00943150 0.864654272 0.758998053
#>  [81,] 1.7867427 1.3860078 1.04834974 0.901608098 0.794239409
#>  [82,] 1.8313807 1.4287832 1.08806194 0.939422641 0.830390273
#>  [83,] 1.8764795 1.4721829 1.12855091 0.978083240 0.867438312
#>  [84,] 1.9220158 1.5161852 1.16979833 1.017573918 0.905369733
#>  [85,] 1.9679658 1.5607675 1.21178477 1.057877429 0.944169336
#>  [86,] 2.0143055 1.6059068 1.25448980 1.098975321 0.983820567
#>  [87,] 2.0610106 1.6515795 1.29789203 1.140847995 1.024305573
#>  [88,] 2.1080567 1.6977612 1.34196918 1.183474768 1.065605267
#>  [89,] 2.1554192 1.7444275 1.38669815 1.226833941 1.107699389
#>  [90,] 2.2030733 1.7915531 1.43205505 1.270902865 1.150566577
#>  [91,] 2.2509946 1.8391128 1.47801535 1.315658015 1.194184432
#>  [92,] 2.2991583 1.8870810 1.52455387 1.361075060 1.238529596
#>  [93,] 2.3475399 1.9354317 1.57164490 1.407128931 1.283577820
#>  [94,] 2.3961150 1.9841390 1.61926222 1.453793900 1.329304042
#>  [95,] 2.4448594 2.0331767 1.66737925 1.501043650 1.375682458
#>  [96,] 2.4937489 2.0825189 1.71596902 1.548851344 1.422686603
#>  [97,] 2.5427599 2.1321393 1.76500431 1.597189703 1.470289420
#>  [98,] 2.5918689 2.1820120 1.81445769 1.646031074 1.518463338
#>  [99,] 2.6410527 2.2321111 1.86430156 1.695347497 1.567180347
#> [100,] 2.6902886 2.2824108 1.91450827 1.745110779 1.616412068
#> 
#> $interventions_vec$LLINs_example$effects$impact
#>        [,1]      [,2]      [,3]      [,4]      [,5]      [,6]      [,7]
#>   [1,]    0 0.2461038 0.4484209 0.6112283 0.7387692 0.8352705 0.9049558
#>   [2,]    0 0.2463970 0.4488398 0.6116574 0.7391372 0.8355422 0.9051246
#>   [3,]    0 0.2471039 0.4498578 0.6127120 0.7400559 0.8362371 0.9055746
#>   [4,]    0 0.2480368 0.4511984 0.6140972 0.7412593 0.8371443 0.9061594
#>   [5,]    0 0.2490417 0.4526351 0.6155726 0.7425313 0.8380933 0.9067614
#>   [6,]    0 0.2500213 0.4540256 0.6169883 0.7437379 0.8389788 0.9073083
#>   [7,]    0 0.2509233 0.4552945 0.6182652 0.7448090 0.8397466 0.9077634
#>   [8,]    0 0.2517234 0.4564068 0.6193674 0.7457138 0.8403731 0.9081112
#>   [9,]    0 0.2524122 0.4573500 0.6202826 0.7464418 0.8408510 0.9083469
#>  [10,]    0 0.2529885 0.4581226 0.6210099 0.7469930 0.8411805 0.9084712
#>  [11,]    0 0.2534542 0.4587283 0.6215539 0.7473719 0.8413658 0.9084871
#>  [12,]    0 0.2538133 0.4591731 0.6219213 0.7475850 0.8414119 0.9083980
#>  [13,]    0 0.2540698 0.4594634 0.6221191 0.7476386 0.8413241 0.9082076
#>  [14,]    0 0.2542281 0.4596055 0.6221542 0.7475391 0.8411072 0.9079190
#>  [15,]    0 0.2542921 0.4596055 0.6220330 0.7472921 0.8407656 0.9075350
#>  [16,]    0 0.2542653 0.4594685 0.6217611 0.7469024 0.8403028 0.9070578
#>  [17,]    0 0.2541510 0.4591993 0.6213433 0.7463745 0.8397221 0.9064891
#>  [18,]    0 0.2539520 0.4588021 0.6207840 0.7457118 0.8390260 0.9058303
#>  [19,]    0 0.2536710 0.4582806 0.6200869 0.7449175 0.8382165 0.9050823
#>  [20,]    0 0.2533102 0.4576380 0.6192553 0.7439943 0.8372953 0.9042458
#>  [21,]    0 0.2528718 0.4568773 0.6182920 0.7429442 0.8362636 0.9033211
#>  [22,]    0 0.2523577 0.4560011 0.6171996 0.7417693 0.8351225 0.9023082
#>  [23,]    0 0.2517696 0.4550118 0.6159802 0.7404710 0.8338727 0.9012071
#>  [24,]    0 0.2511093 0.4539116 0.6146359 0.7390507 0.8325146 0.9000172
#>  [25,]    0 0.2503782 0.4527026 0.6131685 0.7375096 0.8310486 0.8987383
#>  [26,]    0 0.2495778 0.4513866 0.6115795 0.7358486 0.8294748 0.8973695
#>  [27,]    0 0.2487096 0.4499655 0.6098706 0.7340686 0.8277932 0.8959101
#>  [28,]    0 0.2477750 0.4484410 0.6080432 0.7321703 0.8260038 0.8943593
#>  [29,]    0 0.2467753 0.4468149 0.6060987 0.7301544 0.8241064 0.8927160
#>  [30,]    0 0.2457120 0.4450888 0.6040384 0.7280216 0.8221007 0.8909793
#>  [31,]    0 0.2445863 0.4432645 0.6018636 0.7257724 0.8199865 0.8891480
#>  [32,]    0 0.2433998 0.4413436 0.5995758 0.7234075 0.8177635 0.8872210
#>  [33,]    0 0.2421537 0.4393279 0.5971761 0.7209273 0.8154314 0.8851972
#>  [34,]    0 0.2408494 0.4372191 0.5946661 0.7183326 0.8129899 0.8830753
#>  [35,]    0 0.2394885 0.4350189 0.5920470 0.7156239 0.8104386 0.8808542
#>  [36,]    0 0.2380724 0.4327292 0.5893204 0.7128019 0.8077773 0.8785327
#>  [37,]    0 0.2366026 0.4303519 0.5864877 0.7098673 0.8050058 0.8761097
#>  [38,]    0 0.2350806 0.4278889 0.5835505 0.7068209 0.8021239 0.8735838
#>  [39,]    0 0.2335080 0.4253421 0.5805104 0.7036636 0.7991314 0.8709542
#>  [40,]    0 0.2318863 0.4227135 0.5773692 0.7003962 0.7960282 0.8682196
#>  [41,]    0 0.2302173 0.4200053 0.5741285 0.6970197 0.7928144 0.8653791
#>  [42,]    0 0.2285025 0.4172197 0.5707903 0.6935353 0.7894901 0.8624317
#>  [43,]    0 0.2267436 0.4143587 0.5673565 0.6899441 0.7860553 0.8593765
#>  [44,]    0 0.2249424 0.4114247 0.5638290 0.6862473 0.7825104 0.8562128
#>  [45,]    0 0.2231007 0.4084200 0.5602100 0.6824463 0.7788558 0.8529398
#>  [46,]    0 0.2212201 0.4053470 0.5565016 0.6785425 0.7750918 0.8495569
#>  [47,]    0 0.2193024 0.4022080 0.5527061 0.6745376 0.7712191 0.8460636
#>  [48,]    0 0.2173495 0.3990056 0.5488258 0.6704331 0.7672383 0.8424595
#>  [49,]    0 0.2153632 0.3957422 0.5448632 0.6662309 0.7631502 0.8387444
#>  [50,]    0 0.2133452 0.3924204 0.5408206 0.6619327 0.7589559 0.8349179
#>  [51,]    0 0.2112975 0.3890428 0.5367006 0.6575406 0.7546562 0.8309802
#>  [52,]    0 0.2092218 0.3856120 0.5325059 0.6530566 0.7502525 0.8269312
#>  [53,]    0 0.2071200 0.3821306 0.5282391 0.6484830 0.7457459 0.8227713
#>  [54,]    0 0.2049939 0.3786013 0.5239029 0.6438218 0.7411380 0.8185008
#>  [55,]    0 0.2028454 0.3750268 0.5195002 0.6390756 0.7364302 0.8141202
#>  [56,]    0 0.2006762 0.3714097 0.5150338 0.6342467 0.7316242 0.8096303
#>  [57,]    0 0.1984881 0.3677528 0.5105065 0.6293376 0.7267218 0.8050317
#>  [58,]    0 0.1962831 0.3640588 0.5059213 0.6243511 0.7217249 0.8003254
#>  [59,]    0 0.1940627 0.3603303 0.5012812 0.6192897 0.7166357 0.7955127
#>  [60,]    0 0.1918287 0.3565701 0.4965891 0.6141563 0.7114561 0.7905947
#>  [61,]    0 0.1895829 0.3527807 0.4918480 0.6089536 0.7061885 0.7855728
#>  [62,]    0 0.1873269 0.3489650 0.4870610 0.6036846 0.7008353 0.7804486
#>  [63,]    0 0.1850625 0.3451254 0.4822310 0.5983522 0.6953989 0.7752238
#>  [64,]    0 0.1827911 0.3412646 0.4773612 0.5929594 0.6898818 0.7699002
#>  [65,]    0 0.1805144 0.3373853 0.4724546 0.5875093 0.6842869 0.7644799
#>  [66,]    0 0.1782339 0.3334898 0.4675141 0.5820049 0.6786168 0.7589648
#>  [67,]    0 0.1759512 0.3295808 0.4625429 0.5764494 0.6728743 0.7533574
#>  [68,]    0 0.1736677 0.3256606 0.4575439 0.5708459 0.6670624 0.7476599
#>  [69,]    0 0.1713848 0.3217317 0.4525201 0.5651976 0.6611841 0.7418749
#>  [70,]    0 0.1691038 0.3177965 0.4474744 0.5595076 0.6552424 0.7360049
#>  [71,]    0 0.1668262 0.3138572 0.4424099 0.5537791 0.6492404 0.7300526
#>  [72,]    0 0.1645532 0.3099161 0.4373293 0.5480154 0.6431813 0.7240209
#>  [73,]    0 0.1622860 0.3059753 0.4322356 0.5422196 0.6370683 0.7179127
#>  [74,]    0 0.1600258 0.3020372 0.4271314 0.5363948 0.6309045 0.7117310
#>  [75,]    0 0.1577738 0.2981036 0.4220197 0.5305442 0.6246934 0.7054789
#>  [76,]    0 0.1555310 0.2941766 0.4169030 0.5246710 0.6184380 0.6991595
#>  [77,]    0 0.1532985 0.2902582 0.4117840 0.5187783 0.6121418 0.6927760
#>  [78,]    0 0.1510773 0.2863501 0.4066654 0.5128690 0.6058081 0.6863316
#>  [79,]    0 0.1488683 0.2824544 0.4015495 0.5069464 0.5994401 0.6798298
#>  [80,]    0 0.1466725 0.2785725 0.3964389 0.5010132 0.5930411 0.6732739
#>  [81,]    0 0.1444906 0.2747064 0.3913360 0.4950726 0.5866145 0.6666673
#>  [82,]    0 0.1423235 0.2708574 0.3862431 0.4891273 0.5801635 0.6600134
#>  [83,]    0 0.1401720 0.2670273 0.3811624 0.4831802 0.5736914 0.6533156
#>  [84,]    0 0.1380366 0.2632174 0.3760961 0.4772341 0.5672013 0.6465774
#>  [85,]    0 0.1359182 0.2594291 0.3710463 0.4712917 0.5606965 0.6398023
#>  [86,]    0 0.1338174 0.2556638 0.3660150 0.4653556 0.5541801 0.6329937
#>  [87,]    0 0.1317346 0.2519227 0.3610042 0.4594285 0.5476552 0.6261551
#>  [88,]    0 0.1296705 0.2482070 0.3560158 0.4535129 0.5411248 0.6192898
#>  [89,]    0 0.1276255 0.2445179 0.3510515 0.4476111 0.5345920 0.6124013
#>  [90,]    0 0.1256002 0.2408563 0.3461131 0.4417256 0.5280596 0.6054930
#>  [91,]    0 0.1235949 0.2372234 0.3412022 0.4358586 0.5215306 0.5985682
#>  [92,]    0 0.1216100 0.2336199 0.3363204 0.4300124 0.5150077 0.5916302
#>  [93,]    0 0.1196459 0.2300469 0.3314692 0.4241891 0.5084937 0.5846823
#>  [94,]    0 0.1177028 0.2265051 0.3266500 0.4183907 0.5019914 0.5777276
#>  [95,]    0 0.1157811 0.2229953 0.3218641 0.4126193 0.4955031 0.5707693
#>  [96,]    0 0.1138810 0.2195181 0.3171128 0.4068767 0.4890316 0.5638106
#>  [97,]    0 0.1120028 0.2160742 0.3123973 0.4011648 0.4825793 0.5568544
#>  [98,]    0 0.1101465 0.2126642 0.3077188 0.3954853 0.4761484 0.5499037
#>  [99,]    0 0.1083124 0.2092886 0.3030783 0.3898398 0.4697414 0.5429614
#> [100,]    0 0.1065006 0.2059480 0.2984767 0.3842300 0.4633604 0.5360303
#>             [,8]      [,9]     [,10]     [,11]     [,12]
#>   [1,] 0.9520513 0.9807822 0.9953568 0.9986388 0.9998109
#>   [2,] 0.9521315 0.9808015 0.9953488 0.9986295 0.9998058
#>   [3,] 0.9523650 0.9808793 0.9953473 0.9986172 0.9997975
#>   [4,] 0.9526662 0.9809777 0.9953434 0.9986000 0.9997859
#>   [5,] 0.9529667 0.9810667 0.9953304 0.9985764 0.9997712
#>   [6,] 0.9532250 0.9811283 0.9953039 0.9985455 0.9997531
#>   [7,] 0.9534203 0.9811535 0.9952621 0.9985066 0.9997315
#>   [8,] 0.9535438 0.9811387 0.9952040 0.9984595 0.9997063
#>   [9,] 0.9535931 0.9810828 0.9951292 0.9984040 0.9996769
#>  [10,] 0.9535687 0.9809860 0.9950376 0.9983396 0.9996432
#>  [11,] 0.9534723 0.9808489 0.9949289 0.9982660 0.9996047
#>  [12,] 0.9533058 0.9806722 0.9948030 0.9981828 0.9995609
#>  [13,] 0.9530712 0.9804562 0.9946594 0.9980894 0.9995113
#>  [14,] 0.9527700 0.9802013 0.9944977 0.9979852 0.9994553
#>  [15,] 0.9524034 0.9799076 0.9943174 0.9978697 0.9993922
#>  [16,] 0.9519723 0.9795749 0.9941178 0.9977420 0.9993213
#>  [17,] 0.9514773 0.9792029 0.9938980 0.9976013 0.9992420
#>  [18,] 0.9509186 0.9787910 0.9936572 0.9974467 0.9991532
#>  [19,] 0.9502961 0.9783385 0.9933944 0.9972772 0.9990543
#>  [20,] 0.9496096 0.9778446 0.9931085 0.9970918 0.9989441
#>  [21,] 0.9488586 0.9773081 0.9927982 0.9968893 0.9988216
#>  [22,] 0.9480425 0.9767280 0.9924623 0.9966685 0.9986858
#>  [23,] 0.9471602 0.9761030 0.9920993 0.9964279 0.9985353
#>  [24,] 0.9462109 0.9754315 0.9917078 0.9961663 0.9983690
#>  [25,] 0.9451934 0.9747121 0.9912861 0.9958821 0.9981853
#>  [26,] 0.9441064 0.9739432 0.9908327 0.9955737 0.9979830
#>  [27,] 0.9429484 0.9731230 0.9903455 0.9952395 0.9977604
#>  [28,] 0.9417181 0.9722496 0.9898229 0.9948775 0.9975157
#>  [29,] 0.9404137 0.9713210 0.9892627 0.9944860 0.9972474
#>  [30,] 0.9390337 0.9703354 0.9886629 0.9940629 0.9969535
#>  [31,] 0.9375763 0.9692904 0.9880214 0.9936061 0.9966320
#>  [32,] 0.9360397 0.9681841 0.9873358 0.9931135 0.9962809
#>  [33,] 0.9344221 0.9670140 0.9866038 0.9925827 0.9958979
#>  [34,] 0.9327216 0.9657780 0.9858230 0.9920114 0.9954808
#>  [35,] 0.9309363 0.9644735 0.9849907 0.9913971 0.9950273
#>  [36,] 0.9290642 0.9630983 0.9841045 0.9907371 0.9945347
#>  [37,] 0.9271034 0.9616497 0.9831615 0.9900289 0.9940004
#>  [38,] 0.9250519 0.9601253 0.9821591 0.9892696 0.9934219
#>  [39,] 0.9229079 0.9585226 0.9810944 0.9884564 0.9927961
#>  [40,] 0.9206693 0.9568390 0.9799645 0.9875863 0.9921203
#>  [41,] 0.9183343 0.9550719 0.9787665 0.9866563 0.9913914
#>  [42,] 0.9159009 0.9532188 0.9774974 0.9856634 0.9906064
#>  [43,] 0.9133674 0.9512771 0.9761541 0.9846044 0.9897620
#>  [44,] 0.9107320 0.9492442 0.9747336 0.9834761 0.9888549
#>  [45,] 0.9079930 0.9471176 0.9732329 0.9822753 0.9878820
#>  [46,] 0.9051487 0.9448949 0.9716487 0.9809986 0.9868397
#>  [47,] 0.9021977 0.9425735 0.9699781 0.9796428 0.9857247
#>  [48,] 0.8991383 0.9401511 0.9682179 0.9782045 0.9845334
#>  [49,] 0.8959693 0.9376254 0.9663650 0.9766804 0.9832625
#>  [50,] 0.8926893 0.9349941 0.9644165 0.9750671 0.9819082
#>  [51,] 0.8892974 0.9322551 0.9623693 0.9733614 0.9804672
#>  [52,] 0.8857923 0.9294063 0.9602206 0.9715599 0.9789359
#>  [53,] 0.8821733 0.9264457 0.9579674 0.9696594 0.9773108
#>  [54,] 0.8784396 0.9233716 0.9556069 0.9676567 0.9755883
#>  [55,] 0.8745907 0.9201822 0.9531365 0.9655487 0.9737651
#>  [56,] 0.8706259 0.9168759 0.9505535 0.9633322 0.9718378
#>  [57,] 0.8665451 0.9134514 0.9478555 0.9610045 0.9698031
#>  [58,] 0.8623481 0.9099073 0.9450401 0.9585625 0.9676577
#>  [59,] 0.8580350 0.9062426 0.9421051 0.9560036 0.9653985
#>  [60,] 0.8536059 0.9024563 0.9390485 0.9533251 0.9630225
#>  [61,] 0.8490612 0.8985476 0.9358682 0.9505246 0.9605269
#>  [62,] 0.8444014 0.8945160 0.9325626 0.9475999 0.9579089
#>  [63,] 0.8396273 0.8903610 0.9291302 0.9445486 0.9551658
#>  [64,] 0.8347397 0.8860824 0.9255694 0.9413690 0.9522953
#>  [65,] 0.8297398 0.8816802 0.9218792 0.9380591 0.9492951
#>  [66,] 0.8246286 0.8771547 0.9180585 0.9346174 0.9461631
#>  [67,] 0.8194077 0.8725060 0.9141065 0.9310425 0.9428975
#>  [68,] 0.8140786 0.8677349 0.9100227 0.9273332 0.9394966
#>  [69,] 0.8086430 0.8628420 0.9058067 0.9234886 0.9359589
#>  [70,] 0.8031028 0.8578283 0.9014584 0.9195079 0.9322832
#>  [71,] 0.7974601 0.8526950 0.8969778 0.9153906 0.9284684
#>  [72,] 0.7917171 0.8474434 0.8923652 0.9111365 0.9245139
#>  [73,] 0.7858761 0.8420751 0.8876211 0.9067453 0.9204191
#>  [74,] 0.7799396 0.8365917 0.8827463 0.9022174 0.9161836
#>  [75,] 0.7739101 0.8309951 0.8777417 0.8975531 0.9118074
#>  [76,] 0.7677906 0.8252875 0.8726085 0.8927530 0.9072906
#>  [77,] 0.7615837 0.8194711 0.8673480 0.8878181 0.9026338
#>  [78,] 0.7552925 0.8135482 0.8619619 0.8827493 0.8978375
#>  [79,] 0.7489201 0.8075214 0.8564519 0.8775482 0.8929028
#>  [80,] 0.7424695 0.8013935 0.8508200 0.8722161 0.8878306
#>  [81,] 0.7359442 0.7951672 0.8450684 0.8667548 0.8826224
#>  [82,] 0.7293473 0.7888456 0.8391995 0.8611663 0.8772798
#>  [83,] 0.7226823 0.7824317 0.8332158 0.8554528 0.8718046
#>  [84,] 0.7159527 0.7759288 0.8271200 0.8496167 0.8661989
#>  [85,] 0.7091619 0.7693402 0.8209150 0.8436604 0.8604648
#>  [86,] 0.7023135 0.7626692 0.8146038 0.8375867 0.8546049
#>  [87,] 0.6954112 0.7559194 0.8081895 0.8313985 0.8486218
#>  [88,] 0.6884584 0.7490944 0.8016755 0.8250988 0.8425183
#>  [89,] 0.6814589 0.7421978 0.7950652 0.8186909 0.8362974
#>  [90,] 0.6744163 0.7352332 0.7883621 0.8121781 0.8299622
#>  [91,] 0.6673342 0.7282046 0.7815698 0.8055640 0.8235161
#>  [92,] 0.6602162 0.7211155 0.7746920 0.7988519 0.8169625
#>  [93,] 0.6530661 0.7139700 0.7677326 0.7920458 0.8103050
#>  [94,] 0.6458874 0.7067717 0.7606955 0.7851494 0.8035473
#>  [95,] 0.6386836 0.6995246 0.7535844 0.7781665 0.7966932
#>  [96,] 0.6314584 0.6922325 0.7464035 0.7711012 0.7897466
#>  [97,] 0.6242153 0.6848993 0.7391568 0.7639575 0.7827116
#>  [98,] 0.6169576 0.6775288 0.7318483 0.7567394 0.7755921
#>  [99,] 0.6096890 0.6701249 0.7244820 0.7494511 0.7683924
#> [100,] 0.6024126 0.6626913 0.7170622 0.7420968 0.7611167
#> 
#> $interventions_vec$LLINs_example$effects$avg_vc
#>  [1] 6.7665335 5.4123725 4.2713084 3.3209287 2.5400533 1.9085959 1.4074503
#>  [8] 1.0184047 0.7240872 0.5079471 0.4242508 0.3672630
#> 
#> $interventions_vec$LLINs_example$effects$avg_impact
#>  [1] 0.0000000 0.2001263 0.3687597 0.5092127 0.6246153 0.7179359 0.7919983
#>  [8] 0.8494939 0.8929899 0.9249325 0.9373016 0.9457236
#> 
#> 
#> $interventions_vec$LLINs_example$duration
#> [1] 3
#> 
#> $interventions_vec$LLINs_example$model_p
#> $interventions_vec$LLINs_example$model_p$vec_params
#> $interventions_vec$LLINs_example$model_p$vec_params$species_name
#> [1] "Anopheles gambiae"
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$M
#> [1] 0.6134499
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$M.sd
#> [1] 0.003819127
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$Chi
#> [1] 0.7947577
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$A0
#> [1] 0.6419328
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$A0.sd
#> [1] 0.07280429
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$zeta.3
#> [1] 1
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$td
#> [1] 0.33
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$tau
#> [1] 3
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$ts
#> [1] 10
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$to
#> [1] 5
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$endophily
#> [1] 0.7743085
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$endophily.sd
#> [1] 0.01233146
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$endophagy
#> [1] 0.5604133
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$endophagy.sd
#> [1] 0.00505659
#> 
#> 
#> $interventions_vec$LLINs_example$model_p$host_params
#> $interventions_vec$LLINs_example$model_p$host_params$species_name
#> [1] "Anopheles gambiae" "Anopheles gambiae"
#> 
#> $interventions_vec$LLINs_example$model_p$host_params$host
#> [1] "human"  "animal"
#> 
#> $interventions_vec$LLINs_example$model_p$host_params$PBi
#> [1] 0.95 0.95
#> 
#> $interventions_vec$LLINs_example$model_p$host_params$PCi
#> [1] 0.95 0.95
#> 
#> $interventions_vec$LLINs_example$model_p$host_params$PDi
#> [1] 0.99 0.99
#> 
#> $interventions_vec$LLINs_example$model_p$host_params$PEi
#> [1] 0.88 0.88
#> 
#> $interventions_vec$LLINs_example$model_p$host_params$Kvi
#> [1] 0.03 0.00
#> 
#> $interventions_vec$LLINs_example$model_p$host_params$muvA
#> [1] 0.6840223
#> 
#> $interventions_vec$LLINs_example$model_p$host_params$alphai
#> [1] 0.0019298339 0.0004983702
#> 
#> 
#> $interventions_vec$LLINs_example$model_p$activity
#> $interventions_vec$LLINs_example$model_p$activity$HBI
#>  [1] 0.000000000 0.000000000 0.000491400 0.000491400 0.005896806 0.007862408
#>  [7] 0.028009828 0.048157248 0.068304668 0.066339066 0.062899263 0.062899263
#> [13] 0.070270270 0.077641278 0.000000000 0.000000000
#> 
#> $interventions_vec$LLINs_example$model_p$activity$HBO
#>  [1] 0.000000000 0.000000000 0.000982801 0.000982801 0.003931204 0.025061425
#>  [7] 0.042260442 0.056019656 0.073710074 0.077149877 0.077149877 0.073710074
#> [13] 0.038329238 0.031449631 0.000000000 0.000000000
#> 
#> $interventions_vec$LLINs_example$model_p$activity$humans_indoors
#>  [1] 0.00000000 0.28380952 0.61904762 0.84761905 0.96190476 1.00000000
#>  [7] 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000
#> [13] 0.96190476 0.00952381 0.00000000 0.00000000
#> 
#> $interventions_vec$LLINs_example$model_p$activity$humans_in_bed
#>  [1] 0.0000000 0.0000000 0.0000000 0.2271333 0.6666333 1.0000000 1.0000000
#>  [8] 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000 0.8833167 0.2006667
#> [15] 0.0000000 0.0000000
#> 
#> 
#> $interventions_vec$LLINs_example$model_p$total_pop
#> [1] 2000
#> 
#> 
#> $interventions_vec$LLINs_example$coverages
#>  [1] 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 0.95 0.99
#> 
#> 
#> $interventions_vec$IRS_example
#> $interventions_vec$IRS_example$id
#> [1] "IRS"
#> 
#> $interventions_vec$IRS_example$description
#> [1] "IRS"
#> 
#> $interventions_vec$IRS_example$parameterisation
#> [1] "IRS12"
#> 
#> $interventions_vec$IRS_example$effects
#> $interventions_vec$IRS_example$effects$host_types
#> [1] "protected humans"   "unprotected humans" "animals"           
#> 
#> $interventions_vec$IRS_example$effects$Kvi
#> [1] 0.03 0.03 0.00
#> 
#> $interventions_vec$IRS_example$effects$alphai
#>                [,1]        [,2]         [,3]
#>   [1,] 0.0014086068 0.001929834 0.0004983702
#>   [2,] 0.0013878683 0.001929834 0.0004983702
#>   [3,] 0.0013672614 0.001929834 0.0004983702
#>   [4,] 0.0013467954 0.001929834 0.0004983702
#>   [5,] 0.0013264799 0.001929834 0.0004983702
#>   [6,] 0.0013063242 0.001929834 0.0004983702
#>   [7,] 0.0012863377 0.001929834 0.0004983702
#>   [8,] 0.0012665301 0.001929834 0.0004983702
#>   [9,] 0.0012469106 0.001929834 0.0004983702
#>  [10,] 0.0012274888 0.001929834 0.0004983702
#>  [11,] 0.0012082741 0.001929834 0.0004983702
#>  [12,] 0.0011892760 0.001929834 0.0004983702
#>  [13,] 0.0011705039 0.001929834 0.0004983702
#>  [14,] 0.0011519672 0.001929834 0.0004983702
#>  [15,] 0.0011336755 0.001929834 0.0004983702
#>  [16,] 0.0011156381 0.001929834 0.0004983702
#>  [17,] 0.0010978645 0.001929834 0.0004983702
#>  [18,] 0.0010803642 0.001929834 0.0004983702
#>  [19,] 0.0010631467 0.001929834 0.0004983702
#>  [20,] 0.0010462212 0.001929834 0.0004983702
#>  [21,] 0.0010295974 0.001929834 0.0004983702
#>  [22,] 0.0010132847 0.001929834 0.0004983702
#>  [23,] 0.0009972925 0.001929834 0.0004983702
#>  [24,] 0.0009816302 0.001929834 0.0004983702
#>  [25,] 0.0009663074 0.001929834 0.0004983702
#>  [26,] 0.0009513335 0.001929834 0.0004983702
#>  [27,] 0.0009367179 0.001929834 0.0004983702
#>  [28,] 0.0009224700 0.001929834 0.0004983702
#>  [29,] 0.0009085994 0.001929834 0.0004983702
#>  [30,] 0.0008951154 0.001929834 0.0004983702
#>  [31,] 0.0008820276 0.001929834 0.0004983702
#>  [32,] 0.0008693454 0.001929834 0.0004983702
#>  [33,] 0.0008570782 0.001929834 0.0004983702
#>  [34,] 0.0008452354 0.001929834 0.0004983702
#>  [35,] 0.0008338266 0.001929834 0.0004983702
#>  [36,] 0.0008228612 0.001929834 0.0004983702
#>  [37,] 0.0008123487 0.001929834 0.0004983702
#>  [38,] 0.0008022984 0.001929834 0.0004983702
#>  [39,] 0.0007927198 0.001929834 0.0004983702
#>  [40,] 0.0007836224 0.001929834 0.0004983702
#>  [41,] 0.0007750157 0.001929834 0.0004983702
#>  [42,] 0.0007669090 0.001929834 0.0004983702
#>  [43,] 0.0007593119 0.001929834 0.0004983702
#>  [44,] 0.0007522338 0.001929834 0.0004983702
#>  [45,] 0.0007456841 0.001929834 0.0004983702
#>  [46,] 0.0007396724 0.001929834 0.0004983702
#>  [47,] 0.0007342079 0.001929834 0.0004983702
#>  [48,] 0.0007293003 0.001929834 0.0004983702
#>  [49,] 0.0007249589 0.001929834 0.0004983702
#>  [50,] 0.0007211932 0.001929834 0.0004983702
#>  [51,] 0.0007180126 0.001929834 0.0004983702
#>  [52,] 0.0007154267 0.001929834 0.0004983702
#>  [53,] 0.0007134448 0.001929834 0.0004983702
#>  [54,] 0.0007120764 0.001929834 0.0004983702
#>  [55,] 0.0007113309 0.001929834 0.0004983702
#>  [56,] 0.0007112178 0.001929834 0.0004983702
#>  [57,] 0.0007117467 0.001929834 0.0004983702
#>  [58,] 0.0007129268 0.001929834 0.0004983702
#>  [59,] 0.0007147676 0.001929834 0.0004983702
#>  [60,] 0.0007172787 0.001929834 0.0004983702
#>  [61,] 0.0007204694 0.001929834 0.0004983702
#>  [62,] 0.0007243492 0.001929834 0.0004983702
#>  [63,] 0.0007289276 0.001929834 0.0004983702
#>  [64,] 0.0007342140 0.001929834 0.0004983702
#>  [65,] 0.0007402179 0.001929834 0.0004983702
#>  [66,] 0.0007469487 0.001929834 0.0004983702
#>  [67,] 0.0007544158 0.001929834 0.0004983702
#>  [68,] 0.0007626288 0.001929834 0.0004983702
#>  [69,] 0.0007715970 0.001929834 0.0004983702
#>  [70,] 0.0007813299 0.001929834 0.0004983702
#>  [71,] 0.0007918370 0.001929834 0.0004983702
#>  [72,] 0.0008031278 0.001929834 0.0004983702
#>  [73,] 0.0008152116 0.001929834 0.0004983702
#>  [74,] 0.0008280979 0.001929834 0.0004983702
#>  [75,] 0.0008417961 0.001929834 0.0004983702
#>  [76,] 0.0008563159 0.001929834 0.0004983702
#>  [77,] 0.0008716664 0.001929834 0.0004983702
#>  [78,] 0.0008878573 0.001929834 0.0004983702
#>  [79,] 0.0009048980 0.001929834 0.0004983702
#>  [80,] 0.0009227979 0.001929834 0.0004983702
#>  [81,] 0.0009415665 0.001929834 0.0004983702
#>  [82,] 0.0009612132 0.001929834 0.0004983702
#>  [83,] 0.0009817475 0.001929834 0.0004983702
#>  [84,] 0.0010031788 0.001929834 0.0004983702
#>  [85,] 0.0010255166 0.001929834 0.0004983702
#>  [86,] 0.0010487703 0.001929834 0.0004983702
#>  [87,] 0.0010729495 0.001929834 0.0004983702
#>  [88,] 0.0010980634 0.001929834 0.0004983702
#>  [89,] 0.0011241216 0.001929834 0.0004983702
#>  [90,] 0.0011511336 0.001929834 0.0004983702
#>  [91,] 0.0011791088 0.001929834 0.0004983702
#>  [92,] 0.0012080566 0.001929834 0.0004983702
#>  [93,] 0.0012379865 0.001929834 0.0004983702
#>  [94,] 0.0012689079 0.001929834 0.0004983702
#>  [95,] 0.0013008303 0.001929834 0.0004983702
#>  [96,] 0.0013337631 0.001929834 0.0004983702
#>  [97,] 0.0013677159 0.001929834 0.0004983702
#>  [98,] 0.0014026980 0.001929834 0.0004983702
#>  [99,] 0.0014387189 0.001929834 0.0004983702
#> [100,] 0.0014757880 0.001929834 0.0004983702
#> 
#> $interventions_vec$IRS_example$effects$PBi
#>             [,1] [,2] [,3]
#>   [1,] 0.8627821 0.95 0.95
#>   [2,] 0.8595562 0.95 0.95
#>   [3,] 0.8565296 0.95 0.95
#>   [4,] 0.8536986 0.95 0.95
#>   [5,] 0.8510598 0.95 0.95
#>   [6,] 0.8486096 0.95 0.95
#>   [7,] 0.8463443 0.95 0.95
#>   [8,] 0.8442606 0.95 0.95
#>   [9,] 0.8423547 0.95 0.95
#>  [10,] 0.8406231 0.95 0.95
#>  [11,] 0.8390623 0.95 0.95
#>  [12,] 0.8376687 0.95 0.95
#>  [13,] 0.8364388 0.95 0.95
#>  [14,] 0.8353689 0.95 0.95
#>  [15,] 0.8344556 0.95 0.95
#>  [16,] 0.8336952 0.95 0.95
#>  [17,] 0.8330842 0.95 0.95
#>  [18,] 0.8326190 0.95 0.95
#>  [19,] 0.8322961 0.95 0.95
#>  [20,] 0.8321119 0.95 0.95
#>  [21,] 0.8320629 0.95 0.95
#>  [22,] 0.8321454 0.95 0.95
#>  [23,] 0.8323560 0.95 0.95
#>  [24,] 0.8326910 0.95 0.95
#>  [25,] 0.8331469 0.95 0.95
#>  [26,] 0.8337202 0.95 0.95
#>  [27,] 0.8344072 0.95 0.95
#>  [28,] 0.8352045 0.95 0.95
#>  [29,] 0.8361084 0.95 0.95
#>  [30,] 0.8371154 0.95 0.95
#>  [31,] 0.8382219 0.95 0.95
#>  [32,] 0.8394244 0.95 0.95
#>  [33,] 0.8407193 0.95 0.95
#>  [34,] 0.8421030 0.95 0.95
#>  [35,] 0.8435721 0.95 0.95
#>  [36,] 0.8451228 0.95 0.95
#>  [37,] 0.8467517 0.95 0.95
#>  [38,] 0.8484552 0.95 0.95
#>  [39,] 0.8502297 0.95 0.95
#>  [40,] 0.8520717 0.95 0.95
#>  [41,] 0.8539776 0.95 0.95
#>  [42,] 0.8559439 0.95 0.95
#>  [43,] 0.8579670 0.95 0.95
#>  [44,] 0.8600432 0.95 0.95
#>  [45,] 0.8621692 0.95 0.95
#>  [46,] 0.8643412 0.95 0.95
#>  [47,] 0.8665558 0.95 0.95
#>  [48,] 0.8688093 0.95 0.95
#>  [49,] 0.8710983 0.95 0.95
#>  [50,] 0.8734191 0.95 0.95
#>  [51,] 0.8757682 0.95 0.95
#>  [52,] 0.8781421 0.95 0.95
#>  [53,] 0.8805371 0.95 0.95
#>  [54,] 0.8829497 0.95 0.95
#>  [55,] 0.8853764 0.95 0.95
#>  [56,] 0.8878136 0.95 0.95
#>  [57,] 0.8902576 0.95 0.95
#>  [58,] 0.8927051 0.95 0.95
#>  [59,] 0.8951523 0.95 0.95
#>  [60,] 0.8975958 0.95 0.95
#>  [61,] 0.9000319 0.95 0.95
#>  [62,] 0.9024572 0.95 0.95
#>  [63,] 0.9048680 0.95 0.95
#>  [64,] 0.9072608 0.95 0.95
#>  [65,] 0.9096320 0.95 0.95
#>  [66,] 0.9119781 0.95 0.95
#>  [67,] 0.9142954 0.95 0.95
#>  [68,] 0.9165806 0.95 0.95
#>  [69,] 0.9188299 0.95 0.95
#>  [70,] 0.9210398 0.95 0.95
#>  [71,] 0.9232068 0.95 0.95
#>  [72,] 0.9253273 0.95 0.95
#>  [73,] 0.9273977 0.95 0.95
#>  [74,] 0.9294145 0.95 0.95
#>  [75,] 0.9313740 0.95 0.95
#>  [76,] 0.9332729 0.95 0.95
#>  [77,] 0.9351074 0.95 0.95
#>  [78,] 0.9368740 0.95 0.95
#>  [79,] 0.9385693 0.95 0.95
#>  [80,] 0.9401895 0.95 0.95
#>  [81,] 0.9417311 0.95 0.95
#>  [82,] 0.9431906 0.95 0.95
#>  [83,] 0.9445644 0.95 0.95
#>  [84,] 0.9458490 0.95 0.95
#>  [85,] 0.9470408 0.95 0.95
#>  [86,] 0.9481362 0.95 0.95
#>  [87,] 0.9491317 0.95 0.95
#>  [88,] 0.9500237 0.95 0.95
#>  [89,] 0.9508086 0.95 0.95
#>  [90,] 0.9514829 0.95 0.95
#>  [91,] 0.9520430 0.95 0.95
#>  [92,] 0.9524854 0.95 0.95
#>  [93,] 0.9528065 0.95 0.95
#>  [94,] 0.9530027 0.95 0.95
#>  [95,] 0.9530704 0.95 0.95
#>  [96,] 0.9530062 0.95 0.95
#>  [97,] 0.9528065 0.95 0.95
#>  [98,] 0.9524676 0.95 0.95
#>  [99,] 0.9519861 0.95 0.95
#> [100,] 0.9513583 0.95 0.95
#> 
#> $interventions_vec$IRS_example$effects$PCi
#>             [,1] [,2] [,3]
#>   [1,] 0.2277121 0.95 0.95
#>   [2,] 0.2261501 0.95 0.95
#>   [3,] 0.2249940 0.95 0.95
#>   [4,] 0.2242366 0.95 0.95
#>   [5,] 0.2238706 0.95 0.95
#>   [6,] 0.2238885 0.95 0.95
#>   [7,] 0.2242830 0.95 0.95
#>   [8,] 0.2250467 0.95 0.95
#>   [9,] 0.2261724 0.95 0.95
#>  [10,] 0.2276527 0.95 0.95
#>  [11,] 0.2294802 0.95 0.95
#>  [12,] 0.2316475 0.95 0.95
#>  [13,] 0.2341474 0.95 0.95
#>  [14,] 0.2369725 0.95 0.95
#>  [15,] 0.2401155 0.95 0.95
#>  [16,] 0.2435689 0.95 0.95
#>  [17,] 0.2473255 0.95 0.95
#>  [18,] 0.2513778 0.95 0.95
#>  [19,] 0.2557187 0.95 0.95
#>  [20,] 0.2603406 0.95 0.95
#>  [21,] 0.2652363 0.95 0.95
#>  [22,] 0.2703984 0.95 0.95
#>  [23,] 0.2758196 0.95 0.95
#>  [24,] 0.2814925 0.95 0.95
#>  [25,] 0.2874097 0.95 0.95
#>  [26,] 0.2935640 0.95 0.95
#>  [27,] 0.2999480 0.95 0.95
#>  [28,] 0.3065543 0.95 0.95
#>  [29,] 0.3133755 0.95 0.95
#>  [30,] 0.3204045 0.95 0.95
#>  [31,] 0.3276337 0.95 0.95
#>  [32,] 0.3350558 0.95 0.95
#>  [33,] 0.3426636 0.95 0.95
#>  [34,] 0.3504496 0.95 0.95
#>  [35,] 0.3584065 0.95 0.95
#>  [36,] 0.3665270 0.95 0.95
#>  [37,] 0.3748036 0.95 0.95
#>  [38,] 0.3832292 0.95 0.95
#>  [39,] 0.3917962 0.95 0.95
#>  [40,] 0.4004975 0.95 0.95
#>  [41,] 0.4093255 0.95 0.95
#>  [42,] 0.4182731 0.95 0.95
#>  [43,] 0.4273327 0.95 0.95
#>  [44,] 0.4364972 0.95 0.95
#>  [45,] 0.4457590 0.95 0.95
#>  [46,] 0.4551110 0.95 0.95
#>  [47,] 0.4645457 0.95 0.95
#>  [48,] 0.4740558 0.95 0.95
#>  [49,] 0.4836340 0.95 0.95
#>  [50,] 0.4932728 0.95 0.95
#>  [51,] 0.5029650 0.95 0.95
#>  [52,] 0.5127032 0.95 0.95
#>  [53,] 0.5224801 0.95 0.95
#>  [54,] 0.5322883 0.95 0.95
#>  [55,] 0.5421205 0.95 0.95
#>  [56,] 0.5519693 0.95 0.95
#>  [57,] 0.5618273 0.95 0.95
#>  [58,] 0.5716873 0.95 0.95
#>  [59,] 0.5815419 0.95 0.95
#>  [60,] 0.5913837 0.95 0.95
#>  [61,] 0.6012054 0.95 0.95
#>  [62,] 0.6109996 0.95 0.95
#>  [63,] 0.6207590 0.95 0.95
#>  [64,] 0.6304763 0.95 0.95
#>  [65,] 0.6401441 0.95 0.95
#>  [66,] 0.6497550 0.95 0.95
#>  [67,] 0.6593017 0.95 0.95
#>  [68,] 0.6687769 0.95 0.95
#>  [69,] 0.6781732 0.95 0.95
#>  [70,] 0.6874833 0.95 0.95
#>  [71,] 0.6966998 0.95 0.95
#>  [72,] 0.7058154 0.95 0.95
#>  [73,] 0.7148227 0.95 0.95
#>  [74,] 0.7237143 0.95 0.95
#>  [75,] 0.7324830 0.95 0.95
#>  [76,] 0.7411214 0.95 0.95
#>  [77,] 0.7496221 0.95 0.95
#>  [78,] 0.7579778 0.95 0.95
#>  [79,] 0.7661812 0.95 0.95
#>  [80,] 0.7742249 0.95 0.95
#>  [81,] 0.7821015 0.95 0.95
#>  [82,] 0.7898037 0.95 0.95
#>  [83,] 0.7973241 0.95 0.95
#>  [84,] 0.8046555 0.95 0.95
#>  [85,] 0.8117905 0.95 0.95
#>  [86,] 0.8187216 0.95 0.95
#>  [87,] 0.8254417 0.95 0.95
#>  [88,] 0.8319432 0.95 0.95
#>  [89,] 0.8382190 0.95 0.95
#>  [90,] 0.8442615 0.95 0.95
#>  [91,] 0.8500636 0.95 0.95
#>  [92,] 0.8556178 0.95 0.95
#>  [93,] 0.8609167 0.95 0.95
#>  [94,] 0.8659531 0.95 0.95
#>  [95,] 0.8707197 0.95 0.95
#>  [96,] 0.8752089 0.95 0.95
#>  [97,] 0.8794136 0.95 0.95
#>  [98,] 0.8833263 0.95 0.95
#>  [99,] 0.8869397 0.95 0.95
#> [100,] 0.8902465 0.95 0.95
#> 
#> $interventions_vec$IRS_example$effects$PDi
#>        [,1] [,2] [,3]
#>   [1,] 0.99 0.99 0.99
#>   [2,] 0.99 0.99 0.99
#>   [3,] 0.99 0.99 0.99
#>   [4,] 0.99 0.99 0.99
#>   [5,] 0.99 0.99 0.99
#>   [6,] 0.99 0.99 0.99
#>   [7,] 0.99 0.99 0.99
#>   [8,] 0.99 0.99 0.99
#>   [9,] 0.99 0.99 0.99
#>  [10,] 0.99 0.99 0.99
#>  [11,] 0.99 0.99 0.99
#>  [12,] 0.99 0.99 0.99
#>  [13,] 0.99 0.99 0.99
#>  [14,] 0.99 0.99 0.99
#>  [15,] 0.99 0.99 0.99
#>  [16,] 0.99 0.99 0.99
#>  [17,] 0.99 0.99 0.99
#>  [18,] 0.99 0.99 0.99
#>  [19,] 0.99 0.99 0.99
#>  [20,] 0.99 0.99 0.99
#>  [21,] 0.99 0.99 0.99
#>  [22,] 0.99 0.99 0.99
#>  [23,] 0.99 0.99 0.99
#>  [24,] 0.99 0.99 0.99
#>  [25,] 0.99 0.99 0.99
#>  [26,] 0.99 0.99 0.99
#>  [27,] 0.99 0.99 0.99
#>  [28,] 0.99 0.99 0.99
#>  [29,] 0.99 0.99 0.99
#>  [30,] 0.99 0.99 0.99
#>  [31,] 0.99 0.99 0.99
#>  [32,] 0.99 0.99 0.99
#>  [33,] 0.99 0.99 0.99
#>  [34,] 0.99 0.99 0.99
#>  [35,] 0.99 0.99 0.99
#>  [36,] 0.99 0.99 0.99
#>  [37,] 0.99 0.99 0.99
#>  [38,] 0.99 0.99 0.99
#>  [39,] 0.99 0.99 0.99
#>  [40,] 0.99 0.99 0.99
#>  [41,] 0.99 0.99 0.99
#>  [42,] 0.99 0.99 0.99
#>  [43,] 0.99 0.99 0.99
#>  [44,] 0.99 0.99 0.99
#>  [45,] 0.99 0.99 0.99
#>  [46,] 0.99 0.99 0.99
#>  [47,] 0.99 0.99 0.99
#>  [48,] 0.99 0.99 0.99
#>  [49,] 0.99 0.99 0.99
#>  [50,] 0.99 0.99 0.99
#>  [51,] 0.99 0.99 0.99
#>  [52,] 0.99 0.99 0.99
#>  [53,] 0.99 0.99 0.99
#>  [54,] 0.99 0.99 0.99
#>  [55,] 0.99 0.99 0.99
#>  [56,] 0.99 0.99 0.99
#>  [57,] 0.99 0.99 0.99
#>  [58,] 0.99 0.99 0.99
#>  [59,] 0.99 0.99 0.99
#>  [60,] 0.99 0.99 0.99
#>  [61,] 0.99 0.99 0.99
#>  [62,] 0.99 0.99 0.99
#>  [63,] 0.99 0.99 0.99
#>  [64,] 0.99 0.99 0.99
#>  [65,] 0.99 0.99 0.99
#>  [66,] 0.99 0.99 0.99
#>  [67,] 0.99 0.99 0.99
#>  [68,] 0.99 0.99 0.99
#>  [69,] 0.99 0.99 0.99
#>  [70,] 0.99 0.99 0.99
#>  [71,] 0.99 0.99 0.99
#>  [72,] 0.99 0.99 0.99
#>  [73,] 0.99 0.99 0.99
#>  [74,] 0.99 0.99 0.99
#>  [75,] 0.99 0.99 0.99
#>  [76,] 0.99 0.99 0.99
#>  [77,] 0.99 0.99 0.99
#>  [78,] 0.99 0.99 0.99
#>  [79,] 0.99 0.99 0.99
#>  [80,] 0.99 0.99 0.99
#>  [81,] 0.99 0.99 0.99
#>  [82,] 0.99 0.99 0.99
#>  [83,] 0.99 0.99 0.99
#>  [84,] 0.99 0.99 0.99
#>  [85,] 0.99 0.99 0.99
#>  [86,] 0.99 0.99 0.99
#>  [87,] 0.99 0.99 0.99
#>  [88,] 0.99 0.99 0.99
#>  [89,] 0.99 0.99 0.99
#>  [90,] 0.99 0.99 0.99
#>  [91,] 0.99 0.99 0.99
#>  [92,] 0.99 0.99 0.99
#>  [93,] 0.99 0.99 0.99
#>  [94,] 0.99 0.99 0.99
#>  [95,] 0.99 0.99 0.99
#>  [96,] 0.99 0.99 0.99
#>  [97,] 0.99 0.99 0.99
#>  [98,] 0.99 0.99 0.99
#>  [99,] 0.99 0.99 0.99
#> [100,] 0.99 0.99 0.99
#> 
#> $interventions_vec$IRS_example$effects$PEi
#>        [,1] [,2] [,3]
#>   [1,] 0.88 0.88 0.88
#>   [2,] 0.88 0.88 0.88
#>   [3,] 0.88 0.88 0.88
#>   [4,] 0.88 0.88 0.88
#>   [5,] 0.88 0.88 0.88
#>   [6,] 0.88 0.88 0.88
#>   [7,] 0.88 0.88 0.88
#>   [8,] 0.88 0.88 0.88
#>   [9,] 0.88 0.88 0.88
#>  [10,] 0.88 0.88 0.88
#>  [11,] 0.88 0.88 0.88
#>  [12,] 0.88 0.88 0.88
#>  [13,] 0.88 0.88 0.88
#>  [14,] 0.88 0.88 0.88
#>  [15,] 0.88 0.88 0.88
#>  [16,] 0.88 0.88 0.88
#>  [17,] 0.88 0.88 0.88
#>  [18,] 0.88 0.88 0.88
#>  [19,] 0.88 0.88 0.88
#>  [20,] 0.88 0.88 0.88
#>  [21,] 0.88 0.88 0.88
#>  [22,] 0.88 0.88 0.88
#>  [23,] 0.88 0.88 0.88
#>  [24,] 0.88 0.88 0.88
#>  [25,] 0.88 0.88 0.88
#>  [26,] 0.88 0.88 0.88
#>  [27,] 0.88 0.88 0.88
#>  [28,] 0.88 0.88 0.88
#>  [29,] 0.88 0.88 0.88
#>  [30,] 0.88 0.88 0.88
#>  [31,] 0.88 0.88 0.88
#>  [32,] 0.88 0.88 0.88
#>  [33,] 0.88 0.88 0.88
#>  [34,] 0.88 0.88 0.88
#>  [35,] 0.88 0.88 0.88
#>  [36,] 0.88 0.88 0.88
#>  [37,] 0.88 0.88 0.88
#>  [38,] 0.88 0.88 0.88
#>  [39,] 0.88 0.88 0.88
#>  [40,] 0.88 0.88 0.88
#>  [41,] 0.88 0.88 0.88
#>  [42,] 0.88 0.88 0.88
#>  [43,] 0.88 0.88 0.88
#>  [44,] 0.88 0.88 0.88
#>  [45,] 0.88 0.88 0.88
#>  [46,] 0.88 0.88 0.88
#>  [47,] 0.88 0.88 0.88
#>  [48,] 0.88 0.88 0.88
#>  [49,] 0.88 0.88 0.88
#>  [50,] 0.88 0.88 0.88
#>  [51,] 0.88 0.88 0.88
#>  [52,] 0.88 0.88 0.88
#>  [53,] 0.88 0.88 0.88
#>  [54,] 0.88 0.88 0.88
#>  [55,] 0.88 0.88 0.88
#>  [56,] 0.88 0.88 0.88
#>  [57,] 0.88 0.88 0.88
#>  [58,] 0.88 0.88 0.88
#>  [59,] 0.88 0.88 0.88
#>  [60,] 0.88 0.88 0.88
#>  [61,] 0.88 0.88 0.88
#>  [62,] 0.88 0.88 0.88
#>  [63,] 0.88 0.88 0.88
#>  [64,] 0.88 0.88 0.88
#>  [65,] 0.88 0.88 0.88
#>  [66,] 0.88 0.88 0.88
#>  [67,] 0.88 0.88 0.88
#>  [68,] 0.88 0.88 0.88
#>  [69,] 0.88 0.88 0.88
#>  [70,] 0.88 0.88 0.88
#>  [71,] 0.88 0.88 0.88
#>  [72,] 0.88 0.88 0.88
#>  [73,] 0.88 0.88 0.88
#>  [74,] 0.88 0.88 0.88
#>  [75,] 0.88 0.88 0.88
#>  [76,] 0.88 0.88 0.88
#>  [77,] 0.88 0.88 0.88
#>  [78,] 0.88 0.88 0.88
#>  [79,] 0.88 0.88 0.88
#>  [80,] 0.88 0.88 0.88
#>  [81,] 0.88 0.88 0.88
#>  [82,] 0.88 0.88 0.88
#>  [83,] 0.88 0.88 0.88
#>  [84,] 0.88 0.88 0.88
#>  [85,] 0.88 0.88 0.88
#>  [86,] 0.88 0.88 0.88
#>  [87,] 0.88 0.88 0.88
#>  [88,] 0.88 0.88 0.88
#>  [89,] 0.88 0.88 0.88
#>  [90,] 0.88 0.88 0.88
#>  [91,] 0.88 0.88 0.88
#>  [92,] 0.88 0.88 0.88
#>  [93,] 0.88 0.88 0.88
#>  [94,] 0.88 0.88 0.88
#>  [95,] 0.88 0.88 0.88
#>  [96,] 0.88 0.88 0.88
#>  [97,] 0.88 0.88 0.88
#>  [98,] 0.88 0.88 0.88
#>  [99,] 0.88 0.88 0.88
#> [100,] 0.88 0.88 0.88
#> 
#> $interventions_vec$IRS_example$effects$survival
#>   [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#>  [38] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#>  [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> 
#> $interventions_vec$IRS_example$effects$alphai_decay
#>         1         2         3         4         5         6         7         8 
#> 0.2700891 0.2808353 0.2915134 0.3021185 0.3126456 0.3230898 0.3334464 0.3437103 
#>         9        10        11        12        13        14        15        16 
#> 0.3538767 0.3639407 0.3738973 0.3837418 0.3934691 0.4030744 0.4125528 0.4218994 
#>        17        18        19        20        21        22        23        24 
#> 0.4311093 0.4401776 0.4490994 0.4578698 0.4664839 0.4749368 0.4832237 0.4913395 
#>        25        26        27        28        29        30        31        32 
#> 0.4992795 0.5070387 0.5146122 0.5219951 0.5291826 0.5361697 0.5429515 0.5495232 
#>        33        34        35        36        37        38        39        40 
#> 0.5558798 0.5620165 0.5679283 0.5736103 0.5790577 0.5842656 0.5892290 0.5939431 
#>        41        42        43        44        45        46        47        48 
#> 0.5984029 0.6026036 0.6065403 0.6102080 0.6136019 0.6167171 0.6195486 0.6220917 
#>        49        50        51        52        53        54        55        56 
#> 0.6243413 0.6262926 0.6279407 0.6292807 0.6303077 0.6310168 0.6314030 0.6314616 
#>        57        58        59        60        61        62        63        64 
#> 0.6311876 0.6305761 0.6296222 0.6283210 0.6266676 0.6246572 0.6222848 0.6195455 
#>        65        66        67        68        69        70        71        72 
#> 0.6164344 0.6129466 0.6090773 0.6048215 0.6001744 0.5951310 0.5896864 0.5838358 
#>        73        74        75        76        77        78        79        80 
#> 0.5775742 0.5708968 0.5637986 0.5562748 0.5483205 0.5399307 0.5311006 0.5218252 
#>        81        82        83        84        85        86        87        88 
#> 0.5120997 0.5019192 0.4912787 0.4801735 0.4685985 0.4565489 0.4440198 0.4310062 
#>        89        90        91        92        93        94        95        96 
#> 0.4175034 0.4035064 0.3890102 0.3740101 0.3585010 0.3424782 0.3259366 0.3088715 
#>        97        98        99       100 
#> 0.2912779 0.2731509 0.2544856 0.2352772 
#> 
#> $interventions_vec$IRS_example$effects$PBi_decay
#>             1             2             3             4             5 
#>  9.180831e-02  9.520400e-02  9.838994e-02  1.013699e-01  1.041476e-01 
#>             6             7             8             9            10 
#>  1.067268e-01  1.091112e-01  1.113047e-01  1.133109e-01  1.151336e-01 
#>            11            12            13            14            15 
#>  1.167765e-01  1.182434e-01  1.195381e-01  1.206643e-01  1.216257e-01 
#>            16            17            18            19            20 
#>  1.224261e-01  1.230693e-01  1.235589e-01  1.238988e-01  1.240927e-01 
#>            21            22            23            24            25 
#>  1.241443e-01  1.240575e-01  1.238358e-01  1.234832e-01  1.230032e-01 
#>            26            27            28            29            30 
#>  1.223998e-01  1.216766e-01  1.208374e-01  1.198859e-01  1.188259e-01 
#>            31            32            33            34            35 
#>  1.176611e-01  1.163954e-01  1.150323e-01  1.135757e-01  1.120294e-01 
#>            36            37            38            39            40 
#>  1.103970e-01  1.086824e-01  1.068893e-01  1.050213e-01  1.030824e-01 
#>            41            42            43            44            45 
#>  1.010762e-01  9.900641e-02  9.687689e-02  9.469134e-02  9.245351e-02 
#>            46            47            48            49            50 
#>  9.016715e-02  8.783602e-02  8.546386e-02  8.305441e-02  8.061144e-02 
#>            51            52            53            54            55 
#>  7.813868e-02  7.563990e-02  7.311883e-02  7.057922e-02  6.802484e-02 
#>            56            57            58            59            60 
#>  6.545941e-02  6.288670e-02  6.031046e-02  5.773443e-02  5.516236e-02 
#>            61            62            63            64            65 
#>  5.259800e-02  5.004510e-02  4.750741e-02  4.498868e-02  4.249266e-02 
#>            66            67            68            69            70 
#>  4.002310e-02  3.758374e-02  3.517834e-02  3.281065e-02  3.048441e-02 
#>            71            72            73            74            75 
#>  2.820338e-02  2.597130e-02  2.379192e-02  2.166899e-02  1.960627e-02 
#>            76            77            78            79            80 
#>  1.760749e-02  1.567642e-02  1.381679e-02  1.203237e-02  1.032689e-02 
#>            81            82            83            84            85 
#>  8.704107e-03  7.167772e-03  5.721632e-03  4.369437e-03  3.114936e-03 
#>            86            87            88            89            90 
#>  1.961879e-03  9.140140e-04 -2.490874e-05 -8.511402e-04 -1.560931e-03 
#>            91            92            93            94            95 
#> -2.150532e-03 -2.616194e-03 -2.954168e-03 -3.160704e-03 -3.232052e-03 
#>            96            97            98            99           100 
#> -3.164465e-03 -2.954192e-03 -2.597485e-03 -2.090593e-03 -1.429768e-03 
#> 
#> $interventions_vec$IRS_example$effects$PCi_decay
#>          1          2          3          4          5          6          7 
#> 0.76030305 0.76194730 0.76316418 0.76396143 0.76434677 0.76432795 0.76391268 
#>          8          9         10         11         12         13         14 
#> 0.76310872 0.76192378 0.76036561 0.75844193 0.75616049 0.75352901 0.75055523 
#>         15         16         17         18         19         20         21 
#> 0.74724688 0.74361169 0.73965740 0.73539175 0.73082246 0.72595727 0.72080391 
#>         22         23         24         25         26         27         28 
#> 0.71537011 0.70966362 0.70369216 0.69746346 0.69098526 0.68426530 0.67731130 
#>         29         30         31         32         33         34         35 
#> 0.67013101 0.66273214 0.65512245 0.64730965 0.63930149 0.63110569 0.62273000 
#>         36         37         38         39         40         41         42 
#> 0.61418214 0.60546985 0.59660086 0.58758290 0.57842371 0.56913103 0.55971258 
#>         43         44         45         46         47         48         49 
#> 0.55017609 0.54052931 0.53077997 0.52093580 0.51100452 0.50099389 0.49091162 
#>         50         51         52         53         54         55         56 
#> 0.48076545 0.47056313 0.46031237 0.45002092 0.43969650 0.42934685 0.41897971 
#>         57         58         59         60         61         62         63 
#> 0.40860280 0.39822387 0.38785064 0.37749084 0.36715222 0.35684250 0.34656943 
#>         64         65         66         67         68         69         70 
#> 0.33634072 0.32616412 0.31604735 0.30599816 0.29602428 0.28613343 0.27633336 
#>         71         72         73         74         75         76         77 
#> 0.26663179 0.25703646 0.24755510 0.23819545 0.22896524 0.21987221 0.21092408 
#>         78         79         80         81         82         83         84 
#> 0.20212859 0.19349347 0.18502647 0.17673530 0.16862771 0.16071142 0.15299418 
#>         85         86         87         88         89         90         91 
#> 0.14548371 0.13818775 0.13111403 0.12427028 0.11766425 0.11130365 0.10519624 
#>         92         93         94         95         96         97         98 
#> 0.09934973 0.09377186 0.08847037 0.08345299 0.07872745 0.07430149 0.07018284 
#>         99        100 
#> 0.06637923 0.06289840 
#> 
#> $interventions_vec$IRS_example$effects$vc
#>            [,1]     [,2]     [,3]     [,4]     [,5]     [,6]      [,7]
#>   [1,] 6.766534 4.790846 3.357397 2.320085 1.573748 1.041763 0.6677138
#>   [2,] 6.766534 4.798248 3.366289 2.327741 1.579200 1.044955 0.6690266
#>   [3,] 6.766534 4.806613 3.376581 2.336904 1.586067 1.049372 0.6713332
#>   [4,] 6.766534 4.815876 3.388192 2.347494 1.594281 1.054956 0.6745865
#>   [5,] 6.766534 4.825978 3.401045 2.359436 1.603777 1.061654 0.6787442
#>   [6,] 6.766534 4.836862 3.415066 2.372660 1.614495 1.069417 0.6837681
#>   [7,] 6.766534 4.848472 3.430185 2.387097 1.626377 1.078199 0.6896234
#>   [8,] 6.766534 4.860754 3.446333 2.402683 1.639370 1.087959 0.6962786
#>   [9,] 6.766534 4.873658 3.463445 2.419359 1.653423 1.098657 0.7037044
#>  [10,] 6.766534 4.887135 3.481459 2.437063 1.668487 1.110257 0.7118740
#>  [11,] 6.766534 4.901138 3.500316 2.455740 1.684516 1.122723 0.7207626
#>  [12,] 6.766534 4.915621 3.519955 2.475335 1.701465 1.136023 0.7303466
#>  [13,] 6.766534 4.930540 3.540321 2.495795 1.719291 1.150123 0.7406041
#>  [14,] 6.766534 4.945853 3.561359 2.517068 1.737953 1.164994 0.7515140
#>  [15,] 6.766534 4.961521 3.583016 2.539103 1.757408 1.180605 0.7630564
#>  [16,] 6.766534 4.977503 3.605241 2.561852 1.777617 1.196927 0.7752118
#>  [17,] 6.766534 4.993763 3.627984 2.585266 1.798542 1.213932 0.7879614
#>  [18,] 6.766534 5.010264 3.651196 2.609300 1.820142 1.231591 0.8012869
#>  [19,] 6.766534 5.026971 3.674830 2.633906 1.842382 1.249878 0.8151702
#>  [20,] 6.766534 5.043852 3.698840 2.659039 1.865222 1.268763 0.8295935
#>  [21,] 6.766534 5.060874 3.723183 2.684657 1.888626 1.288221 0.8445390
#>  [22,] 6.766534 5.078006 3.747814 2.710714 1.912558 1.308224 0.8599893
#>  [23,] 6.766534 5.095220 3.772692 2.737170 1.936982 1.328746 0.8759269
#>  [24,] 6.766534 5.112487 3.797776 2.763982 1.961862 1.349760 0.8923345
#>  [25,] 6.766534 5.129780 3.823029 2.791111 1.987163 1.371239 0.9091946
#>  [26,] 6.766534 5.147076 3.848412 2.818518 2.012851 1.393158 0.9264903
#>  [27,] 6.766534 5.164348 3.873890 2.846163 2.038892 1.415490 0.9442044
#>  [28,] 6.766534 5.181576 3.899428 2.874010 2.065254 1.438211 0.9623202
#>  [29,] 6.766534 5.198737 3.924993 2.902024 2.091904 1.461295 0.9808212
#>  [30,] 6.766534 5.215812 3.950554 2.930171 2.118812 1.484719 0.9996914
#>  [31,] 6.766534 5.232783 3.976082 2.958417 2.145947 1.508459 1.0189153
#>  [32,] 6.766534 5.249633 4.001550 2.986733 2.173280 1.532492 1.0384780
#>  [33,] 6.766534 5.266347 4.026932 3.015088 2.200786 1.556797 1.0583652
#>  [34,] 6.766534 5.282910 4.052205 3.043455 2.228437 1.581354 1.0785639
#>  [35,] 6.766534 5.299309 4.077346 3.071810 2.256211 1.606143 1.0990619
#>  [36,] 6.766534 5.315535 4.102337 3.100129 2.284085 1.631147 1.1198485
#>  [37,] 6.766534 5.331578 4.127161 3.128392 2.312039 1.656351 1.1409142
#>  [38,] 6.766534 5.347430 4.151803 3.156581 2.340055 1.681741 1.1622514
#>  [39,] 6.766534 5.363084 4.176249 3.184679 2.368120 1.707306 1.1838540
#>  [40,] 6.766534 5.378536 4.200492 3.212673 2.396219 1.733036 1.2057183
#>  [41,] 6.766534 5.393783 4.224522 3.240555 2.424343 1.758924 1.2278426
#>  [42,] 6.766534 5.408824 4.248334 3.268315 2.452486 1.784967 1.2502276
#>  [43,] 6.766534 5.423658 4.271928 3.295951 2.480643 1.811164 1.2728767
#>  [44,] 6.766534 5.438287 4.295302 3.323462 2.508814 1.837517 1.2957961
#>  [45,] 6.766534 5.452715 4.318459 3.350848 2.537002 1.864031 1.3189949
#>  [46,] 6.766534 5.466946 4.341406 3.378116 2.565212 1.890714 1.3424856
#>  [47,] 6.766534 5.480987 4.364149 3.405275 2.593456 1.917579 1.3662838
#>  [48,] 6.766534 5.494846 4.386702 3.432336 2.621746 1.944642 1.3904086
#>  [49,] 6.766534 5.508533 4.409075 3.459315 2.650099 1.971922 1.4148830
#>  [50,] 6.766534 5.522057 4.431287 3.486231 2.678537 1.999443 1.4397335
#>  [51,] 6.766534 5.535433 4.453355 3.513106 2.707084 2.027233 1.4649907
#>  [52,] 6.766534 5.548673 4.475302 3.539966 2.735769 2.055322 1.4906891
#>  [53,] 6.766534 5.561792 4.497150 3.566840 2.764625 2.083746 1.5168674
#>  [54,] 6.766534 5.574808 4.518927 3.593759 2.793687 2.112546 1.5435683
#>  [55,] 6.766534 5.587738 4.540660 3.620760 2.822996 2.141765 1.5708390
#>  [56,] 6.766534 5.600601 4.562381 3.647880 2.852596 2.171450 1.5987308
#>  [57,] 6.766534 5.613416 4.584122 3.675162 2.882533 2.201653 1.6272994
#>  [58,] 6.766534 5.626205 4.605918 3.702649 2.912858 2.232431 1.6566048
#>  [59,] 6.766534 5.638989 4.627807 3.730388 2.943627 2.263843 1.6867113
#>  [60,] 6.766534 5.651792 4.649825 3.758429 2.974896 2.295953 1.7176877
#>  [61,] 6.766534 5.664636 4.672015 3.786823 3.006725 2.328827 1.7496068
#>  [62,] 6.766534 5.677546 4.694415 3.815624 3.039179 2.362538 1.7825457
#>  [63,] 6.766534 5.690546 4.717070 3.844889 3.072322 2.397159 1.8165856
#>  [64,] 6.766534 5.703661 4.740023 3.874675 3.106224 2.432767 1.8518116
#>  [65,] 6.766534 5.716916 4.763317 3.905040 3.140956 2.469443 1.8883128
#>  [66,] 6.766534 5.730336 4.786998 3.936044 3.176588 2.507270 1.9261819
#>  [67,] 6.766534 5.743947 4.811110 3.967749 3.213197 2.546333 1.9655152
#>  [68,] 6.766534 5.757773 4.835698 4.000215 3.250856 2.586721 2.0064119
#>  [69,] 6.766534 5.771838 4.860807 4.033503 3.289641 2.628523 2.0489745
#>  [70,] 6.766534 5.786168 4.886480 4.067676 3.329630 2.671829 2.0933080
#>  [71,] 6.766534 5.800784 4.912761 4.102793 3.370899 2.716731 2.1395195
#>  [72,] 6.766534 5.815710 4.939691 4.138913 3.413523 2.763322 2.1877179
#>  [73,] 6.766534 5.830967 4.967311 4.176095 3.457577 2.811694 2.2380133
#>  [74,] 6.766534 5.846575 4.995660 4.214394 3.503134 2.861937 2.2905162
#>  [75,] 6.766534 5.862552 5.024772 4.253863 3.550265 2.914142 2.3453371
#>  [76,] 6.766534 5.878915 5.054681 4.294552 3.599039 2.968396 2.4025853
#>  [77,] 6.766534 5.895680 5.085417 4.336508 3.649518 3.024784 2.4623681
#>  [78,] 6.766534 5.912858 5.117007 4.379770 3.701762 3.083384 2.5247896
#>  [79,] 6.766534 5.930460 5.149472 4.424378 3.755825 3.144272 2.5899494
#>  [80,] 6.766534 5.948494 5.182830 4.470359 3.811755 3.207517 2.6579412
#>  [81,] 6.766534 5.966964 5.217093 4.517739 3.869589 3.273176 2.7288509
#>  [82,] 6.766534 5.985871 5.252268 4.566533 3.929359 3.341303 2.8027552
#>  [83,] 6.766534 6.005214 5.288355 4.616748 3.991085 3.411934 2.8797189
#>  [84,] 6.766534 6.024987 5.325347 4.668383 4.054776 3.485098 2.9597930
#>  [85,] 6.766534 6.045179 5.363229 4.721424 4.120426 3.560803 3.0430120
#>  [86,] 6.766534 6.065777 5.401980 4.775846 4.188016 3.639044 3.1293908
#>  [87,] 6.766534 6.086762 5.441566 4.831612 4.257510 3.719795 3.2189220
#>  [88,] 6.766534 6.108109 5.481946 4.888670 4.328852 3.803006 3.3115722
#>  [89,] 6.766534 6.129789 5.523069 4.946951 4.401969 3.888604 3.4072785
#>  [90,] 6.766534 6.151766 5.564870 5.006371 4.476761 3.976487 3.5059448
#>  [91,] 6.766534 6.174001 5.607274 5.066828 4.553108 4.066523 3.6074374
#>  [92,] 6.766534 6.196446 5.650192 5.128198 4.630859 4.158543 3.7115813
#>  [93,] 6.766534 6.219046 5.693523 5.190337 4.709837 4.252345 3.8181554
#>  [94,] 6.766534 6.241740 5.737150 5.253081 4.789832 4.347684 3.9268886
#>  [95,] 6.766534 6.264461 5.780940 5.316237 4.870603 4.444272 4.0374554
#>  [96,] 6.766534 6.287132 5.824746 5.379592 4.951872 4.541774 4.1494720
#>  [97,] 6.766534 6.309670 5.868404 5.442903 5.033322 4.639809 4.2624922
#>  [98,] 6.766534 6.331983 5.911732 5.505901 5.114602 4.737940 4.3760046
#>  [99,] 6.766534 6.353971 5.954529 5.568288 5.195317 4.835680 4.4894300
#> [100,] 6.766534 6.375524 5.996580 5.629739 5.275033 4.932487 4.6021193
#>             [,8]      [,9]     [,10]      [,11]      [,12]
#>   [1,] 0.4097117 0.2364378 0.1243597 0.08554238 0.06105754
#>   [2,] 0.4096784 0.2355932 0.1231605 0.08430245 0.05983684
#>   [3,] 0.4104076 0.2353017 0.1223381 0.08336504 0.05886576
#>   [4,] 0.4118614 0.2355332 0.1218691 0.08270941 0.05812573
#>   [5,] 0.4140065 0.2362617 0.1217331 0.08231784 0.05760090
#>   [6,] 0.4168135 0.2374645 0.1219127 0.08217521 0.05727782
#>   [7,] 0.4202559 0.2391215 0.1223930 0.08226860 0.05714506
#>   [8,] 0.4243102 0.2412156 0.1231612 0.08258704 0.05719296
#>   [9,] 0.4289554 0.2437314 0.1242064 0.08312125 0.05741340
#>  [10,] 0.4341725 0.2466557 0.1255191 0.08386338 0.05779958
#>  [11,] 0.4399442 0.2499767 0.1270914 0.08480684 0.05834586
#>  [12,] 0.4462550 0.2536842 0.1289166 0.08594613 0.05904757
#>  [13,] 0.4530902 0.2577691 0.1309888 0.08727671 0.05990094
#>  [14,] 0.4604367 0.2622231 0.1333034 0.08879483 0.06090293
#>  [15,] 0.4682818 0.2670390 0.1358560 0.09049747 0.06205117
#>  [16,] 0.4766139 0.2722101 0.1386434 0.09238223 0.06334387
#>  [17,] 0.4854216 0.2777306 0.1416628 0.09444723 0.06477972
#>  [18,] 0.4946943 0.2835948 0.1449116 0.09669107 0.06635788
#>  [19,] 0.5044215 0.2897977 0.1483880 0.09911274 0.06807787
#>  [20,] 0.5145931 0.2963345 0.1520905 0.10171162 0.06993960
#>  [21,] 0.5251993 0.3032007 0.1560176 0.10448740 0.07194328
#>  [22,] 0.5362301 0.3103920 0.1601685 0.10744008 0.07408940
#>  [23,] 0.5476759 0.3179043 0.1645425 0.11056992 0.07637877
#>  [24,] 0.5595273 0.3257338 0.1691391 0.11387747 0.07881245
#>  [25,] 0.5717747 0.3338767 0.1739581 0.11736355 0.08139177
#>  [26,] 0.5844088 0.3423296 0.1789995 0.12102926 0.08411837
#>  [27,] 0.5974204 0.3510890 0.1842638 0.12487599 0.08699417
#>  [28,] 0.6108005 0.3601520 0.1897515 0.12890549 0.09002144
#>  [29,] 0.6245404 0.3695158 0.1954637 0.13311982 0.09320279
#>  [30,] 0.6386317 0.3791779 0.2014018 0.13752150 0.09654124
#>  [31,] 0.6530664 0.3891365 0.2075676 0.14211349 0.10004028
#>  [32,] 0.6678371 0.3993899 0.2139636 0.14689927 0.10370390
#>  [33,] 0.6829370 0.4099375 0.2205927 0.15188294 0.10753666
#>  [34,] 0.6983600 0.4207790 0.2274587 0.15706926 0.11154379
#>  [35,] 0.7141010 0.4319151 0.2345661 0.16246378 0.11573126
#>  [36,] 0.7301561 0.4433476 0.2419202 0.16807291 0.12010586
#>  [37,] 0.7465224 0.4550793 0.2495275 0.17390404 0.12467531
#>  [38,] 0.7631985 0.4671141 0.2573957 0.17996566 0.12944838
#>  [39,] 0.7801847 0.4794575 0.2655335 0.18626747 0.13443498
#>  [40,] 0.7974829 0.4921166 0.2739514 0.19282053 0.13964632
#>  [41,] 0.8150970 0.5051002 0.2826611 0.19963738 0.14509501
#>  [42,] 0.8330330 0.5184189 0.2916762 0.20673220 0.15079522
#>  [43,] 0.8512995 0.5320856 0.3010124 0.21412097 0.15676282
#>  [44,] 0.8699072 0.5461152 0.3106871 0.22182161 0.16301554
#>  [45,] 0.8888698 0.5605254 0.3207201 0.22985417 0.16957315
#>  [46,] 0.9082039 0.5753363 0.3311337 0.23824100 0.17645761
#>  [47,] 0.9279290 0.5905708 0.3419526 0.24700693 0.18369328
#>  [48,] 0.9480680 0.6062551 0.3532044 0.25617946 0.19130711
#>  [49,] 0.9686472 0.6224182 0.3649197 0.26578899 0.19932883
#>  [50,] 0.9896966 0.6390928 0.3771323 0.27586897 0.20779118
#>  [51,] 1.0112497 0.6563150 0.3898792 0.28645620 0.21673017
#>  [52,] 1.0333441 0.6741246 0.4032012 0.29759098 0.22618525
#>  [53,] 1.0560213 0.6925656 0.4171429 0.30931741 0.23619964
#>  [54,] 1.0793272 0.7116858 0.4317528 0.32168361 0.24682056
#>  [55,] 1.1033117 0.7315374 0.4470839 0.33474198 0.25809956
#>  [56,] 1.1280293 0.7521771 0.4631936 0.34854950 0.27009275
#>  [57,] 1.1535388 0.7736662 0.4801440 0.36316802 0.28286122
#>  [58,] 1.1799038 0.7960707 0.4980024 0.37866452 0.29647128
#>  [59,] 1.2071925 0.8194617 0.5168413 0.39511146 0.31099488
#>  [60,] 1.2354776 0.8439154 0.5367388 0.41258712 0.32650998
#>  [61,] 1.2648369 0.8695133 0.5577787 0.43117587 0.34310088
#>  [62,] 1.2953528 0.8963421 0.5800511 0.45096859 0.36085869
#>  [63,] 1.3271126 0.9244945 0.6036524 0.47206296 0.37988167
#>  [64,] 1.3602084 0.9540686 0.6286857 0.49456384 0.40027570
#>  [65,] 1.3947370 0.9851683 0.6552609 0.51858358 0.42215466
#>  [66,] 1.4308001 1.0179035 0.6834951 0.54424241 0.44564085
#>  [67,] 1.4685039 1.0523901 0.7135129 0.57166868 0.47086537
#>  [68,] 1.5079592 1.0887496 0.7454464 0.60099921 0.49796851
#>  [69,] 1.5492810 1.1271098 0.7794353 0.63237947 0.52710003
#>  [70,] 1.5925885 1.1676041 0.8156271 0.66596381 0.55841949
#>  [71,] 1.6380045 1.2103715 0.8541772 0.70191553 0.59209642
#>  [72,] 1.6856554 1.2555565 0.8952486 0.74040693 0.62831040
#>  [73,] 1.7356704 1.3033085 0.9390118 0.78161916 0.66725109
#>  [74,] 1.7881808 1.3537813 0.9856444 0.82574200 0.70911804
#>  [75,] 1.8433198 1.4071327 1.0353306 0.87297341 0.75412032
#>  [76,] 1.9012212 1.4635236 1.0882606 0.92351889 0.80247597
#>  [77,] 1.9620183 1.5231167 1.1446294 0.97759058 0.85441118
#>  [78,] 2.0258432 1.5860755 1.2046358 1.03540608 0.91015907
#>  [79,] 2.0928247 1.6525629 1.2684807 1.09718688 0.96995826
#>  [80,] 2.1630873 1.7227390 1.3363653 1.16315646 1.03405087
#>  [81,] 2.2367488 1.7967594 1.4084888 1.23353791 1.10268012
#>  [82,] 2.3139181 1.8747724 1.4850454 1.30855106 1.17608739
#>  [83,] 2.3946933 1.9569162 1.5662215 1.38840902 1.25450863
#>  [84,] 2.4791580 2.0433157 1.6521913 1.47331417 1.33817018
#>  [85,] 2.5673787 2.1340784 1.7431131 1.56345343 1.42728375
#>  [86,] 2.6594013 2.2292907 1.8391236 1.65899289 1.52204077
#>  [87,] 2.7552467 2.3290124 1.9403327 1.76007162 1.62260582
#>  [88,] 2.8549072 2.4332721 2.0468169 1.86679483 1.72910928
#>  [89,] 2.9583414 2.5420612 2.1586126 1.97922618 1.84163909
#>  [90,] 3.0654692 2.6553275 2.2757083 2.09737942 1.96023181
#>  [91,] 3.1761670 2.7729692 2.3980363 2.22120936 2.08486278
#>  [92,] 3.2902620 2.8948272 2.5254644 2.35060226 2.21543578
#>  [93,] 3.4075264 3.0206782 2.6577865 2.48536581 2.35177211
#>  [94,] 3.5276720 3.1502277 2.7947136 2.62521883 2.49359939
#>  [95,] 3.6503443 3.2831023 2.9358647 2.76978107 2.64054047
#>  [96,] 3.7751174 3.4188429 3.0807577 2.91856326 2.79210251
#>  [97,] 3.9014890 3.5568984 3.2288015 3.07095791 2.94766693
#>  [98,] 4.0288759 3.6966200 3.3792884 3.22623125 3.10648059
#>  [99,] 4.1566109 3.8372564 3.5313891 3.38351680 3.26764872
#> [100,] 4.2839400 3.9779517 3.6841481 3.54181110 3.43013023
#> 
#> $interventions_vec$IRS_example$effects$impact
#>        [,1]       [,2]      [,3]      [,4]      [,5]      [,6]      [,7]
#>   [1,]    0 0.29197921 0.5038232 0.6571236 0.7674218 0.8460419 0.9013211
#>   [2,]    0 0.29088530 0.5025091 0.6559920 0.7666162 0.8455701 0.9011271
#>   [3,]    0 0.28964919 0.5009881 0.6546379 0.7656012 0.8449173 0.9007862
#>   [4,]    0 0.28828018 0.4992721 0.6530728 0.7643873 0.8440921 0.9003055
#>   [5,]    0 0.28678717 0.4973726 0.6513080 0.7629839 0.8431022 0.8996910
#>   [6,]    0 0.28517871 0.4953005 0.6493538 0.7614000 0.8419550 0.8989485
#>   [7,]    0 0.28346297 0.4930662 0.6472202 0.7596440 0.8406571 0.8980832
#>   [8,]    0 0.28164780 0.4906798 0.6449167 0.7577238 0.8392147 0.8970997
#>   [9,]    0 0.27974073 0.4881508 0.6424523 0.7556470 0.8376337 0.8960022
#>  [10,]    0 0.27774903 0.4854885 0.6398358 0.7534208 0.8359194 0.8947949
#>  [11,]    0 0.27567965 0.4827018 0.6370756 0.7510519 0.8340770 0.8934813
#>  [12,]    0 0.27353932 0.4797994 0.6341797 0.7485470 0.8321115 0.8920649
#>  [13,]    0 0.27133447 0.4767896 0.6311560 0.7459125 0.8300277 0.8905490
#>  [14,]    0 0.26907134 0.4736804 0.6280122 0.7431547 0.8278300 0.8889366
#>  [15,]    0 0.26675591 0.4704798 0.6247557 0.7402794 0.8255229 0.8872308
#>  [16,]    0 0.26439394 0.4671952 0.6213937 0.7372928 0.8231107 0.8854344
#>  [17,]    0 0.26199098 0.4638342 0.6179334 0.7342004 0.8205976 0.8835502
#>  [18,]    0 0.25955237 0.4604038 0.6143816 0.7310082 0.8179878 0.8815809
#>  [19,]    0 0.25708324 0.4569110 0.6107452 0.7277215 0.8152854 0.8795291
#>  [20,]    0 0.25458851 0.4533626 0.6070308 0.7243461 0.8124944 0.8773976
#>  [21,]    0 0.25207292 0.4497651 0.6032449 0.7208872 0.8096188 0.8751888
#>  [22,]    0 0.24954098 0.4461250 0.5993940 0.7173504 0.8066626 0.8729055
#>  [23,]    0 0.24699704 0.4424484 0.5954842 0.7137409 0.8036297 0.8705501
#>  [24,]    0 0.24444521 0.4387412 0.5915217 0.7100640 0.8005242 0.8681253
#>  [25,]    0 0.24188945 0.4350092 0.5875124 0.7063249 0.7973499 0.8656336
#>  [26,]    0 0.23933347 0.4312579 0.5834621 0.7025285 0.7941106 0.8630776
#>  [27,]    0 0.23678083 0.4274927 0.5793765 0.6986800 0.7908102 0.8604597
#>  [28,]    0 0.23423483 0.4237186 0.5752611 0.6947840 0.7874523 0.8577824
#>  [29,]    0 0.23169863 0.4199404 0.5711210 0.6908455 0.7840408 0.8550482
#>  [30,]    0 0.22917512 0.4161628 0.5669613 0.6868690 0.7805790 0.8522594
#>  [31,]    0 0.22666703 0.4123901 0.5627869 0.6828588 0.7770706 0.8494184
#>  [32,]    0 0.22417684 0.4086262 0.5586023 0.6788192 0.7735189 0.8465273
#>  [33,]    0 0.22170684 0.4048751 0.5544118 0.6747543 0.7699269 0.8435883
#>  [34,]    0 0.21925909 0.4011402 0.5502194 0.6706678 0.7662978 0.8406032
#>  [35,]    0 0.21683542 0.3974247 0.5460290 0.6665632 0.7626343 0.8375739
#>  [36,]    0 0.21443745 0.3937313 0.5418438 0.6624439 0.7589390 0.8345019
#>  [37,]    0 0.21206657 0.3900627 0.5376669 0.6583127 0.7552142 0.8313887
#>  [38,]    0 0.20972393 0.3864210 0.5335011 0.6541722 0.7514619 0.8282353
#>  [39,]    0 0.20741045 0.3828081 0.5293486 0.6500247 0.7476839 0.8250428
#>  [40,]    0 0.20512683 0.3792255 0.5252113 0.6458720 0.7438813 0.8218115
#>  [41,]    0 0.20287351 0.3756742 0.5210909 0.6417156 0.7400554 0.8185419
#>  [42,]    0 0.20065073 0.3721550 0.5169882 0.6375565 0.7362065 0.8152337
#>  [43,]    0 0.19845846 0.3686682 0.5129040 0.6333953 0.7323350 0.8118864
#>  [44,]    0 0.19629644 0.3652139 0.5088384 0.6292320 0.7284404 0.8084993
#>  [45,]    0 0.19416420 0.3617915 0.5047910 0.6250663 0.7245221 0.8050708
#>  [46,]    0 0.19206101 0.3584003 0.5007612 0.6208971 0.7205786 0.8015992
#>  [47,]    0 0.18998592 0.3550391 0.4967475 0.6167231 0.7166083 0.7980822
#>  [48,]    0 0.18793776 0.3517062 0.4927482 0.6125422 0.7126088 0.7945168
#>  [49,]    0 0.18591510 0.3483997 0.4887611 0.6083520 0.7085772 0.7908999
#>  [50,]    0 0.18391635 0.3451171 0.4847833 0.6041493 0.7045100 0.7872273
#>  [51,]    0 0.18193965 0.3418557 0.4808115 0.5999304 0.7004031 0.7834946
#>  [52,]    0 0.17998296 0.3386123 0.4768420 0.5956911 0.6962519 0.7796968
#>  [53,]    0 0.17804405 0.3353834 0.4728704 0.5914267 0.6920511 0.7758280
#>  [54,]    0 0.17612049 0.3321651 0.4688921 0.5871317 0.6877949 0.7718820
#>  [55,]    0 0.17420964 0.3289533 0.4649018 0.5828002 0.6834768 0.7678517
#>  [56,]    0 0.17230873 0.3257433 0.4608938 0.5784259 0.6790898 0.7637297
#>  [57,]    0 0.17041481 0.3225302 0.4568619 0.5740016 0.6746261 0.7595077
#>  [58,]    0 0.16852479 0.3193090 0.4527998 0.5695199 0.6700776 0.7551767
#>  [59,]    0 0.16663542 0.3160742 0.4487003 0.5649727 0.6654353 0.7507274
#>  [60,]    0 0.16474336 0.3128202 0.4445563 0.5603516 0.6606900 0.7461495
#>  [61,]    0 0.16284516 0.3095409 0.4403600 0.5556477 0.6558315 0.7414323
#>  [62,]    0 0.16093725 0.3062304 0.4361035 0.5508515 0.6508496 0.7365644
#>  [63,]    0 0.15901604 0.3028823 0.4317786 0.5459533 0.6457331 0.7315338
#>  [64,]    0 0.15707783 0.2994902 0.4273767 0.5409430 0.6404707 0.7263279
#>  [65,]    0 0.15511893 0.2960476 0.4228892 0.5358102 0.6350505 0.7209335
#>  [66,]    0 0.15313561 0.2925479 0.4183072 0.5305442 0.6294602 0.7153370
#>  [67,]    0 0.15112416 0.2889845 0.4136217 0.5251340 0.6236872 0.7095241
#>  [68,]    0 0.14908090 0.2853508 0.4088236 0.5195685 0.6177184 0.7034801
#>  [69,]    0 0.14700220 0.2816401 0.4039040 0.5138365 0.6115407 0.6971899
#>  [70,]    0 0.14488451 0.2778459 0.3988538 0.5079267 0.6051407 0.6906380
#>  [71,]    0 0.14272439 0.2739619 0.3936640 0.5018278 0.5985047 0.6838086
#>  [72,]    0 0.14051853 0.2699820 0.3883259 0.4955286 0.5916192 0.6766856
#>  [73,]    0 0.13826377 0.2659001 0.3828309 0.4890180 0.5844706 0.6692526
#>  [74,]    0 0.13595716 0.2617106 0.3771709 0.4822853 0.5770453 0.6614934
#>  [75,]    0 0.13359596 0.2574083 0.3713379 0.4753199 0.5693301 0.6533916
#>  [76,]    0 0.13117768 0.2529881 0.3653246 0.4681119 0.5613121 0.6449311
#>  [77,]    0 0.12870014 0.2484457 0.3591242 0.4606518 0.5529788 0.6360961
#>  [78,]    0 0.12616145 0.2437772 0.3527305 0.4529308 0.5443185 0.6268710
#>  [79,]    0 0.12356010 0.2389793 0.3461382 0.4449410 0.5353201 0.6172413
#>  [80,]    0 0.12089497 0.2340495 0.3393428 0.4366754 0.5259735 0.6071931
#>  [81,]    0 0.11816538 0.2289859 0.3323407 0.4281283 0.5162698 0.5967136
#>  [82,]    0 0.11537111 0.2237875 0.3251296 0.4192951 0.5062017 0.5857916
#>  [83,]    0 0.11251247 0.2184544 0.3177085 0.4101728 0.4957633 0.5744174
#>  [84,]    0 0.10959033 0.2129875 0.3100776 0.4007602 0.4849508 0.5625836
#>  [85,]    0 0.10660615 0.2073889 0.3022389 0.3910581 0.4737626 0.5502849
#>  [86,]    0 0.10356205 0.2016622 0.2941960 0.3810692 0.4621996 0.5375194
#>  [87,]    0 0.10046084 0.1958119 0.2859546 0.3707990 0.4502658 0.5242879
#>  [88,]    0 0.09730607 0.1898442 0.2775223 0.3602555 0.4379683 0.5105955
#>  [89,]    0 0.09410208 0.1837669 0.2689091 0.3494499 0.4253181 0.4964514
#>  [90,]    0 0.09085406 0.1775893 0.2601276 0.3383966 0.4123302 0.4818699
#>  [91,]    0 0.08756806 0.1713225 0.2511930 0.3271137 0.3990242 0.4668707
#>  [92,]    0 0.08425109 0.1649798 0.2421234 0.3156231 0.3854249 0.4514797
#>  [93,]    0 0.08091112 0.1585761 0.2329400 0.3039513 0.3715622 0.4357295
#>  [94,]    0 0.07755718 0.1521287 0.2236674 0.2921291 0.3574725 0.4196602
#>  [95,]    0 0.07419935 0.1456571 0.2143337 0.2801922 0.3431981 0.4033200
#>  [96,]    0 0.07084884 0.1391831 0.2049708 0.2681819 0.3287886 0.3867655
#>  [97,]    0 0.06751804 0.1327311 0.1956143 0.2561446 0.3143005 0.3700627
#>  [98,]    0 0.06422051 0.1263279 0.1863041 0.2441326 0.2997981 0.3532871
#>  [99,]    0 0.06097107 0.1200030 0.1770841 0.2322040 0.2853534 0.3365244
#> [100,]    0 0.05778582 0.1137885 0.1680025 0.2204231 0.2710467 0.3198705
#>             [,8]      [,9]     [,10]     [,11]     [,12]
#>   [1,] 0.9394503 0.9650578 0.9816214 0.9873580 0.9909765
#>   [2,] 0.9394552 0.9651826 0.9817986 0.9875413 0.9911569
#>   [3,] 0.9393474 0.9652257 0.9819201 0.9876798 0.9913005
#>   [4,] 0.9391326 0.9651914 0.9819894 0.9877767 0.9914098
#>   [5,] 0.9388156 0.9650838 0.9820095 0.9878346 0.9914874
#>   [6,] 0.9384007 0.9649060 0.9819830 0.9878556 0.9915351
#>   [7,] 0.9378920 0.9646611 0.9819120 0.9878418 0.9915548
#>   [8,] 0.9372928 0.9643517 0.9817985 0.9877948 0.9915477
#>   [9,] 0.9366063 0.9639799 0.9816440 0.9877158 0.9915151
#>  [10,] 0.9358353 0.9635477 0.9814500 0.9876062 0.9914580
#>  [11,] 0.9349823 0.9630569 0.9812176 0.9874667 0.9913773
#>  [12,] 0.9340497 0.9625090 0.9809479 0.9872984 0.9912736
#>  [13,] 0.9330395 0.9619053 0.9806417 0.9871017 0.9911475
#>  [14,] 0.9319538 0.9612471 0.9802996 0.9868774 0.9909994
#>  [15,] 0.9307944 0.9605353 0.9799224 0.9866257 0.9908297
#>  [16,] 0.9295631 0.9597711 0.9795104 0.9863472 0.9906387
#>  [17,] 0.9282614 0.9589553 0.9790642 0.9860420 0.9904265
#>  [18,] 0.9268910 0.9580886 0.9785841 0.9857104 0.9901932
#>  [19,] 0.9254535 0.9571719 0.9780703 0.9853525 0.9899390
#>  [20,] 0.9239503 0.9562059 0.9775231 0.9849684 0.9896639
#>  [21,] 0.9223828 0.9551911 0.9769428 0.9845582 0.9893678
#>  [22,] 0.9207526 0.9541284 0.9763293 0.9841218 0.9890506
#>  [23,] 0.9190611 0.9530181 0.9756829 0.9836593 0.9887123
#>  [24,] 0.9173096 0.9518611 0.9750036 0.9831705 0.9883526
#>  [25,] 0.9154996 0.9506576 0.9742914 0.9826553 0.9879714
#>  [26,] 0.9136325 0.9494084 0.9735463 0.9821136 0.9875685
#>  [27,] 0.9117095 0.9481139 0.9727684 0.9815451 0.9871435
#>  [28,] 0.9097321 0.9467745 0.9719574 0.9809496 0.9866961
#>  [29,] 0.9077016 0.9453907 0.9711132 0.9803267 0.9862259
#>  [30,] 0.9056191 0.9439628 0.9702356 0.9796762 0.9857325
#>  [31,] 0.9034858 0.9424910 0.9693244 0.9789976 0.9852154
#>  [32,] 0.9013029 0.9409757 0.9683791 0.9782903 0.9846740
#>  [33,] 0.8990714 0.9394169 0.9673994 0.9775538 0.9841076
#>  [34,] 0.8967921 0.9378147 0.9663847 0.9767873 0.9835154
#>  [35,] 0.8944658 0.9361689 0.9653344 0.9759901 0.9828965
#>  [36,] 0.8920930 0.9344794 0.9642475 0.9751612 0.9822500
#>  [37,] 0.8896743 0.9327456 0.9631233 0.9742994 0.9815747
#>  [38,] 0.8872098 0.9309670 0.9619605 0.9734036 0.9808693
#>  [39,] 0.8846995 0.9291428 0.9607578 0.9724722 0.9801324
#>  [40,] 0.8821431 0.9272720 0.9595138 0.9715038 0.9793622
#>  [41,] 0.8795399 0.9253532 0.9582266 0.9704964 0.9785570
#>  [42,] 0.8768892 0.9233849 0.9568943 0.9694478 0.9777146
#>  [43,] 0.8741897 0.9213651 0.9555145 0.9683559 0.9768326
#>  [44,] 0.8714398 0.9192917 0.9540847 0.9672178 0.9759086
#>  [45,] 0.8686373 0.9171621 0.9526020 0.9660307 0.9749394
#>  [46,] 0.8657800 0.9149733 0.9510630 0.9647913 0.9739220
#>  [47,] 0.8628649 0.9127218 0.9494641 0.9634958 0.9728527
#>  [48,] 0.8598887 0.9104039 0.9478013 0.9621402 0.9717275
#>  [49,] 0.8568473 0.9080152 0.9460699 0.9607201 0.9705420
#>  [50,] 0.8537365 0.9055509 0.9442651 0.9592304 0.9692913
#>  [51,] 0.8505513 0.9030057 0.9423813 0.9576657 0.9679703
#>  [52,] 0.8472860 0.9003737 0.9404124 0.9560202 0.9665730
#>  [53,] 0.8439347 0.8976484 0.9383521 0.9542872 0.9650930
#>  [54,] 0.8404904 0.8948227 0.9361929 0.9524596 0.9635233
#>  [55,] 0.8369458 0.8918889 0.9339272 0.9505298 0.9618565
#>  [56,] 0.8332929 0.8888386 0.9315464 0.9484892 0.9600840
#>  [57,] 0.8295229 0.8856628 0.9290414 0.9463288 0.9581970
#>  [58,] 0.8256265 0.8823518 0.9264021 0.9440386 0.9561856
#>  [59,] 0.8215937 0.8788949 0.9236180 0.9416080 0.9540393
#>  [60,] 0.8174135 0.8752810 0.9206774 0.9390253 0.9517463
#>  [61,] 0.8130746 0.8714980 0.9175680 0.9362782 0.9492944
#>  [62,] 0.8085648 0.8675330 0.9142765 0.9333531 0.9466701
#>  [63,] 0.8038711 0.8633725 0.9107885 0.9302356 0.9438587
#>  [64,] 0.7989800 0.8590019 0.9070890 0.9269103 0.9408448
#>  [65,] 0.7938772 0.8544058 0.9031615 0.9233605 0.9376114
#>  [66,] 0.7885475 0.8495679 0.8989889 0.9195685 0.9341405
#>  [67,] 0.7829754 0.8444713 0.8945527 0.9155153 0.9304126
#>  [68,] 0.7771445 0.8390979 0.8898333 0.9111806 0.9264071
#>  [69,] 0.7710377 0.8334288 0.8848103 0.9065431 0.9221019
#>  [70,] 0.7646375 0.8274443 0.8794616 0.9015798 0.9174733
#>  [71,] 0.7579256 0.8211238 0.8737644 0.8962666 0.9124963
#>  [72,] 0.7508835 0.8144461 0.8676946 0.8905781 0.9071444
#>  [73,] 0.7434919 0.8073890 0.8612270 0.8844875 0.9013895
#>  [74,] 0.7357316 0.7999299 0.8543354 0.8779668 0.8952022
#>  [75,] 0.7275828 0.7920453 0.8469925 0.8709866 0.8885515
#>  [76,] 0.7190258 0.7837115 0.8391701 0.8635167 0.8814052
#>  [77,] 0.7100408 0.7749044 0.8308396 0.8555256 0.8737299
#>  [78,] 0.7006084 0.7656000 0.8219715 0.8469813 0.8654911
#>  [79,] 0.6907095 0.7557741 0.8125361 0.8378510 0.8566536
#>  [80,] 0.6803256 0.7454030 0.8025037 0.8281016 0.8471816
#>  [81,] 0.6694395 0.7344638 0.7918449 0.8177002 0.8370391
#>  [82,] 0.6580349 0.7229346 0.7805308 0.8066143 0.8261906
#>  [83,] 0.6460975 0.7107949 0.7685341 0.7948124 0.8146010
#>  [84,] 0.6336148 0.6980262 0.7558290 0.7822646 0.8022370
#>  [85,] 0.6205770 0.6846127 0.7423920 0.7689432 0.7890672
#>  [86,] 0.6069773 0.6705417 0.7282030 0.7548238 0.7750634
#>  [87,] 0.5928127 0.6558042 0.7132457 0.7398858 0.7602013
#>  [88,] 0.5780842 0.6403961 0.6975088 0.7241136 0.7444616
#>  [89,] 0.5627981 0.6243185 0.6809869 0.7074978 0.7278312
#>  [90,] 0.5469661 0.6075793 0.6636818 0.6900364 0.7103049
#>  [91,] 0.5306065 0.5901935 0.6456034 0.6717360 0.6918861
#>  [92,] 0.5137448 0.5721846 0.6267713 0.6526135 0.6725893
#>  [93,] 0.4964148 0.5535856 0.6072159 0.6326973 0.6524406
#>  [94,] 0.4786589 0.5344399 0.5869800 0.6120290 0.6314805
#>  [95,] 0.4605296 0.5148029 0.5661198 0.5906647 0.6097647
#>  [96,] 0.4420899 0.4947423 0.5447067 0.5686767 0.5873659
#>  [97,] 0.4234139 0.4743396 0.5228278 0.5461549 0.5643756
#>  [98,] 0.4045879 0.4536907 0.5005879 0.5232077 0.5409052
#>  [99,] 0.3857104 0.4329066 0.4781096 0.4999630 0.5170867
#> [100,] 0.3668930 0.4121138 0.4555339 0.4765693 0.4930742
#> 
#> $interventions_vec$IRS_example$effects$avg_vc
#>  [1] 6.7665335 5.5232337 4.4823192 3.6119399 2.8864820 2.2849738 1.7899343
#>  [8] 1.3865260 1.0619245 0.8048440 0.6984280 0.6228302
#> 
#> $interventions_vec$IRS_example$effects$avg_impact
#>  [1] 0.0000000 0.1837425 0.3375753 0.4662053 0.5734179 0.6623125 0.7354725
#>  [8] 0.7950906 0.8430623 0.8810552 0.8967820 0.9079543
#> 
#> 
#> $interventions_vec$IRS_example$duration
#> [1] 0.5
#> 
#> $interventions_vec$IRS_example$model_p
#> $interventions_vec$IRS_example$model_p$vec_params
#> $interventions_vec$IRS_example$model_p$vec_params$species_name
#> [1] "Anopheles gambiae"
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$M
#> [1] 0.6134499
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$M.sd
#> [1] 0.003819127
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$Chi
#> [1] 0.7947577
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$A0
#> [1] 0.6419328
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$A0.sd
#> [1] 0.07280429
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$zeta.3
#> [1] 1
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$td
#> [1] 0.33
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$tau
#> [1] 3
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$ts
#> [1] 10
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$to
#> [1] 5
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$endophily
#> [1] 0.7743085
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$endophily.sd
#> [1] 0.01233146
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$endophagy
#> [1] 0.5604133
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$endophagy.sd
#> [1] 0.00505659
#> 
#> 
#> $interventions_vec$IRS_example$model_p$host_params
#> $interventions_vec$IRS_example$model_p$host_params$species_name
#> [1] "Anopheles gambiae" "Anopheles gambiae"
#> 
#> $interventions_vec$IRS_example$model_p$host_params$host
#> [1] "human"  "animal"
#> 
#> $interventions_vec$IRS_example$model_p$host_params$PBi
#> [1] 0.95 0.95
#> 
#> $interventions_vec$IRS_example$model_p$host_params$PCi
#> [1] 0.95 0.95
#> 
#> $interventions_vec$IRS_example$model_p$host_params$PDi
#> [1] 0.99 0.99
#> 
#> $interventions_vec$IRS_example$model_p$host_params$PEi
#> [1] 0.88 0.88
#> 
#> $interventions_vec$IRS_example$model_p$host_params$Kvi
#> [1] 0.03 0.00
#> 
#> $interventions_vec$IRS_example$model_p$host_params$muvA
#> [1] 0.6840223
#> 
#> $interventions_vec$IRS_example$model_p$host_params$alphai
#> [1] 0.0019298339 0.0004983702
#> 
#> 
#> $interventions_vec$IRS_example$model_p$activity
#> $interventions_vec$IRS_example$model_p$activity$HBI
#>  [1] 0.000000000 0.000000000 0.000491400 0.000491400 0.005896806 0.007862408
#>  [7] 0.028009828 0.048157248 0.068304668 0.066339066 0.062899263 0.062899263
#> [13] 0.070270270 0.077641278 0.000000000 0.000000000
#> 
#> $interventions_vec$IRS_example$model_p$activity$HBO
#>  [1] 0.000000000 0.000000000 0.000982801 0.000982801 0.003931204 0.025061425
#>  [7] 0.042260442 0.056019656 0.073710074 0.077149877 0.077149877 0.073710074
#> [13] 0.038329238 0.031449631 0.000000000 0.000000000
#> 
#> $interventions_vec$IRS_example$model_p$activity$humans_indoors
#>  [1] 0.00000000 0.28380952 0.61904762 0.84761905 0.96190476 1.00000000
#>  [7] 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000
#> [13] 0.96190476 0.00952381 0.00000000 0.00000000
#> 
#> $interventions_vec$IRS_example$model_p$activity$humans_in_bed
#>  [1] 0.0000000 0.0000000 0.0000000 0.2271333 0.6666333 1.0000000 1.0000000
#>  [8] 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000 0.8833167 0.2006667
#> [15] 0.0000000 0.0000000
#> 
#> 
#> $interventions_vec$IRS_example$model_p$total_pop
#> [1] 2000
#> 
#> 
#> $interventions_vec$IRS_example$coverages
#>  [1] 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 0.95 0.99
#> 
#> 
#> $interventions_vec$Screening_example
#> $interventions_vec$Screening_example$id
#> [1] "House_screening"
#> 
#> $interventions_vec$Screening_example$description
#> [1] "House screening"
#> 
#> $interventions_vec$Screening_example$parameterisation
#> [1] "Screening01"
#> 
#> $interventions_vec$Screening_example$effects
#> $interventions_vec$Screening_example$effects$host_types
#> [1] "protected humans"   "unprotected humans" "animals"           
#> 
#> $interventions_vec$Screening_example$effects$Kvi
#> [1] 0.03 0.03 0.00
#> 
#> $interventions_vec$Screening_example$effects$alphai
#>                [,1]        [,2]         [,3]
#>   [1,] 0.0008578025 0.001929834 0.0004983702
#>   [2,] 0.0008578025 0.001929834 0.0004983702
#>   [3,] 0.0008578025 0.001929834 0.0004983702
#>   [4,] 0.0008578025 0.001929834 0.0004983702
#>   [5,] 0.0008578025 0.001929834 0.0004983702
#>   [6,] 0.0008578025 0.001929834 0.0004983702
#>   [7,] 0.0008578025 0.001929834 0.0004983702
#>   [8,] 0.0008578025 0.001929834 0.0004983702
#>   [9,] 0.0008578025 0.001929834 0.0004983702
#>  [10,] 0.0008578025 0.001929834 0.0004983702
#>  [11,] 0.0008578025 0.001929834 0.0004983702
#>  [12,] 0.0008578025 0.001929834 0.0004983702
#>  [13,] 0.0008578025 0.001929834 0.0004983702
#>  [14,] 0.0008578025 0.001929834 0.0004983702
#>  [15,] 0.0008578025 0.001929834 0.0004983702
#>  [16,] 0.0008578025 0.001929834 0.0004983702
#>  [17,] 0.0008578025 0.001929834 0.0004983702
#>  [18,] 0.0008578025 0.001929834 0.0004983702
#>  [19,] 0.0008578025 0.001929834 0.0004983702
#>  [20,] 0.0008578025 0.001929834 0.0004983702
#>  [21,] 0.0008578025 0.001929834 0.0004983702
#>  [22,] 0.0008578025 0.001929834 0.0004983702
#>  [23,] 0.0008578025 0.001929834 0.0004983702
#>  [24,] 0.0008578025 0.001929834 0.0004983702
#>  [25,] 0.0008578025 0.001929834 0.0004983702
#>  [26,] 0.0008578025 0.001929834 0.0004983702
#>  [27,] 0.0008578025 0.001929834 0.0004983702
#>  [28,] 0.0008578025 0.001929834 0.0004983702
#>  [29,] 0.0008578025 0.001929834 0.0004983702
#>  [30,] 0.0008578025 0.001929834 0.0004983702
#>  [31,] 0.0008578025 0.001929834 0.0004983702
#>  [32,] 0.0008578025 0.001929834 0.0004983702
#>  [33,] 0.0008578025 0.001929834 0.0004983702
#>  [34,] 0.0008578025 0.001929834 0.0004983702
#>  [35,] 0.0008578025 0.001929834 0.0004983702
#>  [36,] 0.0008578025 0.001929834 0.0004983702
#>  [37,] 0.0008578025 0.001929834 0.0004983702
#>  [38,] 0.0008578025 0.001929834 0.0004983702
#>  [39,] 0.0008578025 0.001929834 0.0004983702
#>  [40,] 0.0008578025 0.001929834 0.0004983702
#>  [41,] 0.0008578025 0.001929834 0.0004983702
#>  [42,] 0.0008578025 0.001929834 0.0004983702
#>  [43,] 0.0008578025 0.001929834 0.0004983702
#>  [44,] 0.0008578025 0.001929834 0.0004983702
#>  [45,] 0.0008578025 0.001929834 0.0004983702
#>  [46,] 0.0008578025 0.001929834 0.0004983702
#>  [47,] 0.0008578025 0.001929834 0.0004983702
#>  [48,] 0.0008578025 0.001929834 0.0004983702
#>  [49,] 0.0008578025 0.001929834 0.0004983702
#>  [50,] 0.0008578025 0.001929834 0.0004983702
#>  [51,] 0.0008578025 0.001929834 0.0004983702
#>  [52,] 0.0008578025 0.001929834 0.0004983702
#>  [53,] 0.0008578025 0.001929834 0.0004983702
#>  [54,] 0.0008578025 0.001929834 0.0004983702
#>  [55,] 0.0008578025 0.001929834 0.0004983702
#>  [56,] 0.0008578025 0.001929834 0.0004983702
#>  [57,] 0.0008578025 0.001929834 0.0004983702
#>  [58,] 0.0008578025 0.001929834 0.0004983702
#>  [59,] 0.0008578025 0.001929834 0.0004983702
#>  [60,] 0.0008578025 0.001929834 0.0004983702
#>  [61,] 0.0008578025 0.001929834 0.0004983702
#>  [62,] 0.0008578025 0.001929834 0.0004983702
#>  [63,] 0.0008578025 0.001929834 0.0004983702
#>  [64,] 0.0008578025 0.001929834 0.0004983702
#>  [65,] 0.0008578025 0.001929834 0.0004983702
#>  [66,] 0.0008578025 0.001929834 0.0004983702
#>  [67,] 0.0008578025 0.001929834 0.0004983702
#>  [68,] 0.0008578025 0.001929834 0.0004983702
#>  [69,] 0.0008578025 0.001929834 0.0004983702
#>  [70,] 0.0008578025 0.001929834 0.0004983702
#>  [71,] 0.0008578025 0.001929834 0.0004983702
#>  [72,] 0.0008578025 0.001929834 0.0004983702
#>  [73,] 0.0008578025 0.001929834 0.0004983702
#>  [74,] 0.0008578025 0.001929834 0.0004983702
#>  [75,] 0.0008578025 0.001929834 0.0004983702
#>  [76,] 0.0008578025 0.001929834 0.0004983702
#>  [77,] 0.0008578025 0.001929834 0.0004983702
#>  [78,] 0.0008578025 0.001929834 0.0004983702
#>  [79,] 0.0008578025 0.001929834 0.0004983702
#>  [80,] 0.0008578025 0.001929834 0.0004983702
#>  [81,] 0.0008578025 0.001929834 0.0004983702
#>  [82,] 0.0008578025 0.001929834 0.0004983702
#>  [83,] 0.0008578025 0.001929834 0.0004983702
#>  [84,] 0.0008578025 0.001929834 0.0004983702
#>  [85,] 0.0008578025 0.001929834 0.0004983702
#>  [86,] 0.0008578025 0.001929834 0.0004983702
#>  [87,] 0.0008578025 0.001929834 0.0004983702
#>  [88,] 0.0008578025 0.001929834 0.0004983702
#>  [89,] 0.0008578025 0.001929834 0.0004983702
#>  [90,] 0.0008578025 0.001929834 0.0004983702
#>  [91,] 0.0008578025 0.001929834 0.0004983702
#>  [92,] 0.0008578025 0.001929834 0.0004983702
#>  [93,] 0.0008578025 0.001929834 0.0004983702
#>  [94,] 0.0008578025 0.001929834 0.0004983702
#>  [95,] 0.0008578025 0.001929834 0.0004983702
#>  [96,] 0.0008578025 0.001929834 0.0004983702
#>  [97,] 0.0008578025 0.001929834 0.0004983702
#>  [98,] 0.0008578025 0.001929834 0.0004983702
#>  [99,] 0.0008578025 0.001929834 0.0004983702
#> [100,] 0.0008578025 0.001929834 0.0004983702
#> 
#> $interventions_vec$Screening_example$effects$PBi
#>        [,1] [,2] [,3]
#>   [1,] 0.95 0.95 0.95
#>   [2,] 0.95 0.95 0.95
#>   [3,] 0.95 0.95 0.95
#>   [4,] 0.95 0.95 0.95
#>   [5,] 0.95 0.95 0.95
#>   [6,] 0.95 0.95 0.95
#>   [7,] 0.95 0.95 0.95
#>   [8,] 0.95 0.95 0.95
#>   [9,] 0.95 0.95 0.95
#>  [10,] 0.95 0.95 0.95
#>  [11,] 0.95 0.95 0.95
#>  [12,] 0.95 0.95 0.95
#>  [13,] 0.95 0.95 0.95
#>  [14,] 0.95 0.95 0.95
#>  [15,] 0.95 0.95 0.95
#>  [16,] 0.95 0.95 0.95
#>  [17,] 0.95 0.95 0.95
#>  [18,] 0.95 0.95 0.95
#>  [19,] 0.95 0.95 0.95
#>  [20,] 0.95 0.95 0.95
#>  [21,] 0.95 0.95 0.95
#>  [22,] 0.95 0.95 0.95
#>  [23,] 0.95 0.95 0.95
#>  [24,] 0.95 0.95 0.95
#>  [25,] 0.95 0.95 0.95
#>  [26,] 0.95 0.95 0.95
#>  [27,] 0.95 0.95 0.95
#>  [28,] 0.95 0.95 0.95
#>  [29,] 0.95 0.95 0.95
#>  [30,] 0.95 0.95 0.95
#>  [31,] 0.95 0.95 0.95
#>  [32,] 0.95 0.95 0.95
#>  [33,] 0.95 0.95 0.95
#>  [34,] 0.95 0.95 0.95
#>  [35,] 0.95 0.95 0.95
#>  [36,] 0.95 0.95 0.95
#>  [37,] 0.95 0.95 0.95
#>  [38,] 0.95 0.95 0.95
#>  [39,] 0.95 0.95 0.95
#>  [40,] 0.95 0.95 0.95
#>  [41,] 0.95 0.95 0.95
#>  [42,] 0.95 0.95 0.95
#>  [43,] 0.95 0.95 0.95
#>  [44,] 0.95 0.95 0.95
#>  [45,] 0.95 0.95 0.95
#>  [46,] 0.95 0.95 0.95
#>  [47,] 0.95 0.95 0.95
#>  [48,] 0.95 0.95 0.95
#>  [49,] 0.95 0.95 0.95
#>  [50,] 0.95 0.95 0.95
#>  [51,] 0.95 0.95 0.95
#>  [52,] 0.95 0.95 0.95
#>  [53,] 0.95 0.95 0.95
#>  [54,] 0.95 0.95 0.95
#>  [55,] 0.95 0.95 0.95
#>  [56,] 0.95 0.95 0.95
#>  [57,] 0.95 0.95 0.95
#>  [58,] 0.95 0.95 0.95
#>  [59,] 0.95 0.95 0.95
#>  [60,] 0.95 0.95 0.95
#>  [61,] 0.95 0.95 0.95
#>  [62,] 0.95 0.95 0.95
#>  [63,] 0.95 0.95 0.95
#>  [64,] 0.95 0.95 0.95
#>  [65,] 0.95 0.95 0.95
#>  [66,] 0.95 0.95 0.95
#>  [67,] 0.95 0.95 0.95
#>  [68,] 0.95 0.95 0.95
#>  [69,] 0.95 0.95 0.95
#>  [70,] 0.95 0.95 0.95
#>  [71,] 0.95 0.95 0.95
#>  [72,] 0.95 0.95 0.95
#>  [73,] 0.95 0.95 0.95
#>  [74,] 0.95 0.95 0.95
#>  [75,] 0.95 0.95 0.95
#>  [76,] 0.95 0.95 0.95
#>  [77,] 0.95 0.95 0.95
#>  [78,] 0.95 0.95 0.95
#>  [79,] 0.95 0.95 0.95
#>  [80,] 0.95 0.95 0.95
#>  [81,] 0.95 0.95 0.95
#>  [82,] 0.95 0.95 0.95
#>  [83,] 0.95 0.95 0.95
#>  [84,] 0.95 0.95 0.95
#>  [85,] 0.95 0.95 0.95
#>  [86,] 0.95 0.95 0.95
#>  [87,] 0.95 0.95 0.95
#>  [88,] 0.95 0.95 0.95
#>  [89,] 0.95 0.95 0.95
#>  [90,] 0.95 0.95 0.95
#>  [91,] 0.95 0.95 0.95
#>  [92,] 0.95 0.95 0.95
#>  [93,] 0.95 0.95 0.95
#>  [94,] 0.95 0.95 0.95
#>  [95,] 0.95 0.95 0.95
#>  [96,] 0.95 0.95 0.95
#>  [97,] 0.95 0.95 0.95
#>  [98,] 0.95 0.95 0.95
#>  [99,] 0.95 0.95 0.95
#> [100,] 0.95 0.95 0.95
#> 
#> $interventions_vec$Screening_example$effects$PCi
#>        [,1] [,2] [,3]
#>   [1,] 0.95 0.95 0.95
#>   [2,] 0.95 0.95 0.95
#>   [3,] 0.95 0.95 0.95
#>   [4,] 0.95 0.95 0.95
#>   [5,] 0.95 0.95 0.95
#>   [6,] 0.95 0.95 0.95
#>   [7,] 0.95 0.95 0.95
#>   [8,] 0.95 0.95 0.95
#>   [9,] 0.95 0.95 0.95
#>  [10,] 0.95 0.95 0.95
#>  [11,] 0.95 0.95 0.95
#>  [12,] 0.95 0.95 0.95
#>  [13,] 0.95 0.95 0.95
#>  [14,] 0.95 0.95 0.95
#>  [15,] 0.95 0.95 0.95
#>  [16,] 0.95 0.95 0.95
#>  [17,] 0.95 0.95 0.95
#>  [18,] 0.95 0.95 0.95
#>  [19,] 0.95 0.95 0.95
#>  [20,] 0.95 0.95 0.95
#>  [21,] 0.95 0.95 0.95
#>  [22,] 0.95 0.95 0.95
#>  [23,] 0.95 0.95 0.95
#>  [24,] 0.95 0.95 0.95
#>  [25,] 0.95 0.95 0.95
#>  [26,] 0.95 0.95 0.95
#>  [27,] 0.95 0.95 0.95
#>  [28,] 0.95 0.95 0.95
#>  [29,] 0.95 0.95 0.95
#>  [30,] 0.95 0.95 0.95
#>  [31,] 0.95 0.95 0.95
#>  [32,] 0.95 0.95 0.95
#>  [33,] 0.95 0.95 0.95
#>  [34,] 0.95 0.95 0.95
#>  [35,] 0.95 0.95 0.95
#>  [36,] 0.95 0.95 0.95
#>  [37,] 0.95 0.95 0.95
#>  [38,] 0.95 0.95 0.95
#>  [39,] 0.95 0.95 0.95
#>  [40,] 0.95 0.95 0.95
#>  [41,] 0.95 0.95 0.95
#>  [42,] 0.95 0.95 0.95
#>  [43,] 0.95 0.95 0.95
#>  [44,] 0.95 0.95 0.95
#>  [45,] 0.95 0.95 0.95
#>  [46,] 0.95 0.95 0.95
#>  [47,] 0.95 0.95 0.95
#>  [48,] 0.95 0.95 0.95
#>  [49,] 0.95 0.95 0.95
#>  [50,] 0.95 0.95 0.95
#>  [51,] 0.95 0.95 0.95
#>  [52,] 0.95 0.95 0.95
#>  [53,] 0.95 0.95 0.95
#>  [54,] 0.95 0.95 0.95
#>  [55,] 0.95 0.95 0.95
#>  [56,] 0.95 0.95 0.95
#>  [57,] 0.95 0.95 0.95
#>  [58,] 0.95 0.95 0.95
#>  [59,] 0.95 0.95 0.95
#>  [60,] 0.95 0.95 0.95
#>  [61,] 0.95 0.95 0.95
#>  [62,] 0.95 0.95 0.95
#>  [63,] 0.95 0.95 0.95
#>  [64,] 0.95 0.95 0.95
#>  [65,] 0.95 0.95 0.95
#>  [66,] 0.95 0.95 0.95
#>  [67,] 0.95 0.95 0.95
#>  [68,] 0.95 0.95 0.95
#>  [69,] 0.95 0.95 0.95
#>  [70,] 0.95 0.95 0.95
#>  [71,] 0.95 0.95 0.95
#>  [72,] 0.95 0.95 0.95
#>  [73,] 0.95 0.95 0.95
#>  [74,] 0.95 0.95 0.95
#>  [75,] 0.95 0.95 0.95
#>  [76,] 0.95 0.95 0.95
#>  [77,] 0.95 0.95 0.95
#>  [78,] 0.95 0.95 0.95
#>  [79,] 0.95 0.95 0.95
#>  [80,] 0.95 0.95 0.95
#>  [81,] 0.95 0.95 0.95
#>  [82,] 0.95 0.95 0.95
#>  [83,] 0.95 0.95 0.95
#>  [84,] 0.95 0.95 0.95
#>  [85,] 0.95 0.95 0.95
#>  [86,] 0.95 0.95 0.95
#>  [87,] 0.95 0.95 0.95
#>  [88,] 0.95 0.95 0.95
#>  [89,] 0.95 0.95 0.95
#>  [90,] 0.95 0.95 0.95
#>  [91,] 0.95 0.95 0.95
#>  [92,] 0.95 0.95 0.95
#>  [93,] 0.95 0.95 0.95
#>  [94,] 0.95 0.95 0.95
#>  [95,] 0.95 0.95 0.95
#>  [96,] 0.95 0.95 0.95
#>  [97,] 0.95 0.95 0.95
#>  [98,] 0.95 0.95 0.95
#>  [99,] 0.95 0.95 0.95
#> [100,] 0.95 0.95 0.95
#> 
#> $interventions_vec$Screening_example$effects$PDi
#>        [,1] [,2] [,3]
#>   [1,] 0.99 0.99 0.99
#>   [2,] 0.99 0.99 0.99
#>   [3,] 0.99 0.99 0.99
#>   [4,] 0.99 0.99 0.99
#>   [5,] 0.99 0.99 0.99
#>   [6,] 0.99 0.99 0.99
#>   [7,] 0.99 0.99 0.99
#>   [8,] 0.99 0.99 0.99
#>   [9,] 0.99 0.99 0.99
#>  [10,] 0.99 0.99 0.99
#>  [11,] 0.99 0.99 0.99
#>  [12,] 0.99 0.99 0.99
#>  [13,] 0.99 0.99 0.99
#>  [14,] 0.99 0.99 0.99
#>  [15,] 0.99 0.99 0.99
#>  [16,] 0.99 0.99 0.99
#>  [17,] 0.99 0.99 0.99
#>  [18,] 0.99 0.99 0.99
#>  [19,] 0.99 0.99 0.99
#>  [20,] 0.99 0.99 0.99
#>  [21,] 0.99 0.99 0.99
#>  [22,] 0.99 0.99 0.99
#>  [23,] 0.99 0.99 0.99
#>  [24,] 0.99 0.99 0.99
#>  [25,] 0.99 0.99 0.99
#>  [26,] 0.99 0.99 0.99
#>  [27,] 0.99 0.99 0.99
#>  [28,] 0.99 0.99 0.99
#>  [29,] 0.99 0.99 0.99
#>  [30,] 0.99 0.99 0.99
#>  [31,] 0.99 0.99 0.99
#>  [32,] 0.99 0.99 0.99
#>  [33,] 0.99 0.99 0.99
#>  [34,] 0.99 0.99 0.99
#>  [35,] 0.99 0.99 0.99
#>  [36,] 0.99 0.99 0.99
#>  [37,] 0.99 0.99 0.99
#>  [38,] 0.99 0.99 0.99
#>  [39,] 0.99 0.99 0.99
#>  [40,] 0.99 0.99 0.99
#>  [41,] 0.99 0.99 0.99
#>  [42,] 0.99 0.99 0.99
#>  [43,] 0.99 0.99 0.99
#>  [44,] 0.99 0.99 0.99
#>  [45,] 0.99 0.99 0.99
#>  [46,] 0.99 0.99 0.99
#>  [47,] 0.99 0.99 0.99
#>  [48,] 0.99 0.99 0.99
#>  [49,] 0.99 0.99 0.99
#>  [50,] 0.99 0.99 0.99
#>  [51,] 0.99 0.99 0.99
#>  [52,] 0.99 0.99 0.99
#>  [53,] 0.99 0.99 0.99
#>  [54,] 0.99 0.99 0.99
#>  [55,] 0.99 0.99 0.99
#>  [56,] 0.99 0.99 0.99
#>  [57,] 0.99 0.99 0.99
#>  [58,] 0.99 0.99 0.99
#>  [59,] 0.99 0.99 0.99
#>  [60,] 0.99 0.99 0.99
#>  [61,] 0.99 0.99 0.99
#>  [62,] 0.99 0.99 0.99
#>  [63,] 0.99 0.99 0.99
#>  [64,] 0.99 0.99 0.99
#>  [65,] 0.99 0.99 0.99
#>  [66,] 0.99 0.99 0.99
#>  [67,] 0.99 0.99 0.99
#>  [68,] 0.99 0.99 0.99
#>  [69,] 0.99 0.99 0.99
#>  [70,] 0.99 0.99 0.99
#>  [71,] 0.99 0.99 0.99
#>  [72,] 0.99 0.99 0.99
#>  [73,] 0.99 0.99 0.99
#>  [74,] 0.99 0.99 0.99
#>  [75,] 0.99 0.99 0.99
#>  [76,] 0.99 0.99 0.99
#>  [77,] 0.99 0.99 0.99
#>  [78,] 0.99 0.99 0.99
#>  [79,] 0.99 0.99 0.99
#>  [80,] 0.99 0.99 0.99
#>  [81,] 0.99 0.99 0.99
#>  [82,] 0.99 0.99 0.99
#>  [83,] 0.99 0.99 0.99
#>  [84,] 0.99 0.99 0.99
#>  [85,] 0.99 0.99 0.99
#>  [86,] 0.99 0.99 0.99
#>  [87,] 0.99 0.99 0.99
#>  [88,] 0.99 0.99 0.99
#>  [89,] 0.99 0.99 0.99
#>  [90,] 0.99 0.99 0.99
#>  [91,] 0.99 0.99 0.99
#>  [92,] 0.99 0.99 0.99
#>  [93,] 0.99 0.99 0.99
#>  [94,] 0.99 0.99 0.99
#>  [95,] 0.99 0.99 0.99
#>  [96,] 0.99 0.99 0.99
#>  [97,] 0.99 0.99 0.99
#>  [98,] 0.99 0.99 0.99
#>  [99,] 0.99 0.99 0.99
#> [100,] 0.99 0.99 0.99
#> 
#> $interventions_vec$Screening_example$effects$PEi
#>        [,1] [,2] [,3]
#>   [1,] 0.88 0.88 0.88
#>   [2,] 0.88 0.88 0.88
#>   [3,] 0.88 0.88 0.88
#>   [4,] 0.88 0.88 0.88
#>   [5,] 0.88 0.88 0.88
#>   [6,] 0.88 0.88 0.88
#>   [7,] 0.88 0.88 0.88
#>   [8,] 0.88 0.88 0.88
#>   [9,] 0.88 0.88 0.88
#>  [10,] 0.88 0.88 0.88
#>  [11,] 0.88 0.88 0.88
#>  [12,] 0.88 0.88 0.88
#>  [13,] 0.88 0.88 0.88
#>  [14,] 0.88 0.88 0.88
#>  [15,] 0.88 0.88 0.88
#>  [16,] 0.88 0.88 0.88
#>  [17,] 0.88 0.88 0.88
#>  [18,] 0.88 0.88 0.88
#>  [19,] 0.88 0.88 0.88
#>  [20,] 0.88 0.88 0.88
#>  [21,] 0.88 0.88 0.88
#>  [22,] 0.88 0.88 0.88
#>  [23,] 0.88 0.88 0.88
#>  [24,] 0.88 0.88 0.88
#>  [25,] 0.88 0.88 0.88
#>  [26,] 0.88 0.88 0.88
#>  [27,] 0.88 0.88 0.88
#>  [28,] 0.88 0.88 0.88
#>  [29,] 0.88 0.88 0.88
#>  [30,] 0.88 0.88 0.88
#>  [31,] 0.88 0.88 0.88
#>  [32,] 0.88 0.88 0.88
#>  [33,] 0.88 0.88 0.88
#>  [34,] 0.88 0.88 0.88
#>  [35,] 0.88 0.88 0.88
#>  [36,] 0.88 0.88 0.88
#>  [37,] 0.88 0.88 0.88
#>  [38,] 0.88 0.88 0.88
#>  [39,] 0.88 0.88 0.88
#>  [40,] 0.88 0.88 0.88
#>  [41,] 0.88 0.88 0.88
#>  [42,] 0.88 0.88 0.88
#>  [43,] 0.88 0.88 0.88
#>  [44,] 0.88 0.88 0.88
#>  [45,] 0.88 0.88 0.88
#>  [46,] 0.88 0.88 0.88
#>  [47,] 0.88 0.88 0.88
#>  [48,] 0.88 0.88 0.88
#>  [49,] 0.88 0.88 0.88
#>  [50,] 0.88 0.88 0.88
#>  [51,] 0.88 0.88 0.88
#>  [52,] 0.88 0.88 0.88
#>  [53,] 0.88 0.88 0.88
#>  [54,] 0.88 0.88 0.88
#>  [55,] 0.88 0.88 0.88
#>  [56,] 0.88 0.88 0.88
#>  [57,] 0.88 0.88 0.88
#>  [58,] 0.88 0.88 0.88
#>  [59,] 0.88 0.88 0.88
#>  [60,] 0.88 0.88 0.88
#>  [61,] 0.88 0.88 0.88
#>  [62,] 0.88 0.88 0.88
#>  [63,] 0.88 0.88 0.88
#>  [64,] 0.88 0.88 0.88
#>  [65,] 0.88 0.88 0.88
#>  [66,] 0.88 0.88 0.88
#>  [67,] 0.88 0.88 0.88
#>  [68,] 0.88 0.88 0.88
#>  [69,] 0.88 0.88 0.88
#>  [70,] 0.88 0.88 0.88
#>  [71,] 0.88 0.88 0.88
#>  [72,] 0.88 0.88 0.88
#>  [73,] 0.88 0.88 0.88
#>  [74,] 0.88 0.88 0.88
#>  [75,] 0.88 0.88 0.88
#>  [76,] 0.88 0.88 0.88
#>  [77,] 0.88 0.88 0.88
#>  [78,] 0.88 0.88 0.88
#>  [79,] 0.88 0.88 0.88
#>  [80,] 0.88 0.88 0.88
#>  [81,] 0.88 0.88 0.88
#>  [82,] 0.88 0.88 0.88
#>  [83,] 0.88 0.88 0.88
#>  [84,] 0.88 0.88 0.88
#>  [85,] 0.88 0.88 0.88
#>  [86,] 0.88 0.88 0.88
#>  [87,] 0.88 0.88 0.88
#>  [88,] 0.88 0.88 0.88
#>  [89,] 0.88 0.88 0.88
#>  [90,] 0.88 0.88 0.88
#>  [91,] 0.88 0.88 0.88
#>  [92,] 0.88 0.88 0.88
#>  [93,] 0.88 0.88 0.88
#>  [94,] 0.88 0.88 0.88
#>  [95,] 0.88 0.88 0.88
#>  [96,] 0.88 0.88 0.88
#>  [97,] 0.88 0.88 0.88
#>  [98,] 0.88 0.88 0.88
#>  [99,] 0.88 0.88 0.88
#> [100,] 0.88 0.88 0.88
#> 
#> $interventions_vec$Screening_example$effects$survival
#>   [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#>  [38] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#>  [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> 
#> $interventions_vec$Screening_example$effects$vc
#>            [,1]     [,2]     [,3]     [,4]     [,5]    [,6]     [,7]     [,8]
#>   [1,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>   [2,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>   [3,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>   [4,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>   [5,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>   [6,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>   [7,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>   [8,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>   [9,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [10,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [11,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [12,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [13,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [14,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [15,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [16,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [17,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [18,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [19,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [20,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [21,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [22,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [23,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [24,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [25,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [26,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [27,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [28,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [29,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [30,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [31,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [32,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [33,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [34,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [35,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [36,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [37,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [38,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [39,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [40,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [41,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [42,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [43,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [44,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [45,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [46,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [47,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [48,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [49,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [50,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [51,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [52,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [53,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [54,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [55,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [56,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [57,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [58,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [59,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [60,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [61,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [62,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [63,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [64,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [65,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [66,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [67,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [68,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [69,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [70,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [71,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [72,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [73,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [74,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [75,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [76,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [77,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [78,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [79,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [80,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [81,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [82,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [83,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [84,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [85,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [86,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [87,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [88,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [89,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [90,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [91,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [92,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [93,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [94,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [95,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [96,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [97,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [98,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>  [99,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#> [100,] 6.766534 6.218246 5.675728 5.140819 4.615552 4.10217 3.603136 3.121154
#>            [,9]    [,10]    [,11]    [,12]
#>   [1,] 2.659181 2.220445 2.010878 1.848351
#>   [2,] 2.659181 2.220445 2.010878 1.848351
#>   [3,] 2.659181 2.220445 2.010878 1.848351
#>   [4,] 2.659181 2.220445 2.010878 1.848351
#>   [5,] 2.659181 2.220445 2.010878 1.848351
#>   [6,] 2.659181 2.220445 2.010878 1.848351
#>   [7,] 2.659181 2.220445 2.010878 1.848351
#>   [8,] 2.659181 2.220445 2.010878 1.848351
#>   [9,] 2.659181 2.220445 2.010878 1.848351
#>  [10,] 2.659181 2.220445 2.010878 1.848351
#>  [11,] 2.659181 2.220445 2.010878 1.848351
#>  [12,] 2.659181 2.220445 2.010878 1.848351
#>  [13,] 2.659181 2.220445 2.010878 1.848351
#>  [14,] 2.659181 2.220445 2.010878 1.848351
#>  [15,] 2.659181 2.220445 2.010878 1.848351
#>  [16,] 2.659181 2.220445 2.010878 1.848351
#>  [17,] 2.659181 2.220445 2.010878 1.848351
#>  [18,] 2.659181 2.220445 2.010878 1.848351
#>  [19,] 2.659181 2.220445 2.010878 1.848351
#>  [20,] 2.659181 2.220445 2.010878 1.848351
#>  [21,] 2.659181 2.220445 2.010878 1.848351
#>  [22,] 2.659181 2.220445 2.010878 1.848351
#>  [23,] 2.659181 2.220445 2.010878 1.848351
#>  [24,] 2.659181 2.220445 2.010878 1.848351
#>  [25,] 2.659181 2.220445 2.010878 1.848351
#>  [26,] 2.659181 2.220445 2.010878 1.848351
#>  [27,] 2.659181 2.220445 2.010878 1.848351
#>  [28,] 2.659181 2.220445 2.010878 1.848351
#>  [29,] 2.659181 2.220445 2.010878 1.848351
#>  [30,] 2.659181 2.220445 2.010878 1.848351
#>  [31,] 2.659181 2.220445 2.010878 1.848351
#>  [32,] 2.659181 2.220445 2.010878 1.848351
#>  [33,] 2.659181 2.220445 2.010878 1.848351
#>  [34,] 2.659181 2.220445 2.010878 1.848351
#>  [35,] 2.659181 2.220445 2.010878 1.848351
#>  [36,] 2.659181 2.220445 2.010878 1.848351
#>  [37,] 2.659181 2.220445 2.010878 1.848351
#>  [38,] 2.659181 2.220445 2.010878 1.848351
#>  [39,] 2.659181 2.220445 2.010878 1.848351
#>  [40,] 2.659181 2.220445 2.010878 1.848351
#>  [41,] 2.659181 2.220445 2.010878 1.848351
#>  [42,] 2.659181 2.220445 2.010878 1.848351
#>  [43,] 2.659181 2.220445 2.010878 1.848351
#>  [44,] 2.659181 2.220445 2.010878 1.848351
#>  [45,] 2.659181 2.220445 2.010878 1.848351
#>  [46,] 2.659181 2.220445 2.010878 1.848351
#>  [47,] 2.659181 2.220445 2.010878 1.848351
#>  [48,] 2.659181 2.220445 2.010878 1.848351
#>  [49,] 2.659181 2.220445 2.010878 1.848351
#>  [50,] 2.659181 2.220445 2.010878 1.848351
#>  [51,] 2.659181 2.220445 2.010878 1.848351
#>  [52,] 2.659181 2.220445 2.010878 1.848351
#>  [53,] 2.659181 2.220445 2.010878 1.848351
#>  [54,] 2.659181 2.220445 2.010878 1.848351
#>  [55,] 2.659181 2.220445 2.010878 1.848351
#>  [56,] 2.659181 2.220445 2.010878 1.848351
#>  [57,] 2.659181 2.220445 2.010878 1.848351
#>  [58,] 2.659181 2.220445 2.010878 1.848351
#>  [59,] 2.659181 2.220445 2.010878 1.848351
#>  [60,] 2.659181 2.220445 2.010878 1.848351
#>  [61,] 2.659181 2.220445 2.010878 1.848351
#>  [62,] 2.659181 2.220445 2.010878 1.848351
#>  [63,] 2.659181 2.220445 2.010878 1.848351
#>  [64,] 2.659181 2.220445 2.010878 1.848351
#>  [65,] 2.659181 2.220445 2.010878 1.848351
#>  [66,] 2.659181 2.220445 2.010878 1.848351
#>  [67,] 2.659181 2.220445 2.010878 1.848351
#>  [68,] 2.659181 2.220445 2.010878 1.848351
#>  [69,] 2.659181 2.220445 2.010878 1.848351
#>  [70,] 2.659181 2.220445 2.010878 1.848351
#>  [71,] 2.659181 2.220445 2.010878 1.848351
#>  [72,] 2.659181 2.220445 2.010878 1.848351
#>  [73,] 2.659181 2.220445 2.010878 1.848351
#>  [74,] 2.659181 2.220445 2.010878 1.848351
#>  [75,] 2.659181 2.220445 2.010878 1.848351
#>  [76,] 2.659181 2.220445 2.010878 1.848351
#>  [77,] 2.659181 2.220445 2.010878 1.848351
#>  [78,] 2.659181 2.220445 2.010878 1.848351
#>  [79,] 2.659181 2.220445 2.010878 1.848351
#>  [80,] 2.659181 2.220445 2.010878 1.848351
#>  [81,] 2.659181 2.220445 2.010878 1.848351
#>  [82,] 2.659181 2.220445 2.010878 1.848351
#>  [83,] 2.659181 2.220445 2.010878 1.848351
#>  [84,] 2.659181 2.220445 2.010878 1.848351
#>  [85,] 2.659181 2.220445 2.010878 1.848351
#>  [86,] 2.659181 2.220445 2.010878 1.848351
#>  [87,] 2.659181 2.220445 2.010878 1.848351
#>  [88,] 2.659181 2.220445 2.010878 1.848351
#>  [89,] 2.659181 2.220445 2.010878 1.848351
#>  [90,] 2.659181 2.220445 2.010878 1.848351
#>  [91,] 2.659181 2.220445 2.010878 1.848351
#>  [92,] 2.659181 2.220445 2.010878 1.848351
#>  [93,] 2.659181 2.220445 2.010878 1.848351
#>  [94,] 2.659181 2.220445 2.010878 1.848351
#>  [95,] 2.659181 2.220445 2.010878 1.848351
#>  [96,] 2.659181 2.220445 2.010878 1.848351
#>  [97,] 2.659181 2.220445 2.010878 1.848351
#>  [98,] 2.659181 2.220445 2.010878 1.848351
#>  [99,] 2.659181 2.220445 2.010878 1.848351
#> [100,] 2.659181 2.220445 2.010878 1.848351
#> 
#> $interventions_vec$Screening_example$effects$impact
#>        [,1]       [,2]      [,3]      [,4]      [,5]      [,6]      [,7]
#>   [1,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>   [2,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>   [3,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>   [4,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>   [5,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>   [6,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>   [7,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>   [8,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>   [9,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [10,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [11,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [12,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [13,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [14,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [15,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [16,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [17,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [18,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [19,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [20,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [21,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [22,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [23,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [24,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [25,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [26,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [27,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [28,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [29,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [30,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [31,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [32,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [33,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [34,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [35,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [36,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [37,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [38,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [39,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [40,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [41,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [42,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [43,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [44,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [45,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [46,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [47,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [48,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [49,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [50,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [51,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [52,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [53,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [54,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [55,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [56,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [57,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [58,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [59,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [60,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [61,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [62,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [63,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [64,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [65,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [66,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [67,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [68,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [69,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [70,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [71,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [72,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [73,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [74,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [75,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [76,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [77,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [78,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [79,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [80,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [81,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [82,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [83,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [84,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [85,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [86,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [87,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [88,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [89,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [90,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [91,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [92,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [93,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [94,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [95,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [96,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [97,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [98,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>  [99,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#> [100,]    0 0.08102924 0.1612059 0.2402581 0.3178853 0.3937561 0.4675064
#>             [,8]      [,9]     [,10]   [,11]     [,12]
#>   [1,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>   [2,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>   [3,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>   [4,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>   [5,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>   [6,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>   [7,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>   [8,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>   [9,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [10,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [11,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [12,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [13,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [14,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [15,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [16,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [17,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [18,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [19,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [20,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [21,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [22,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [23,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [24,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [25,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [26,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [27,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [28,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [29,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [30,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [31,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [32,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [33,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [34,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [35,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [36,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [37,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [38,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [39,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [40,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [41,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [42,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [43,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [44,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [45,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [46,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [47,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [48,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [49,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [50,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [51,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [52,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [53,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [54,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [55,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [56,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [57,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [58,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [59,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [60,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [61,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [62,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [63,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [64,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [65,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [66,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [67,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [68,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [69,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [70,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [71,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [72,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [73,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [74,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [75,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [76,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [77,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [78,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [79,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [80,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [81,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [82,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [83,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [84,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [85,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [86,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [87,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [88,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [89,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [90,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [91,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [92,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [93,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [94,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [95,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [96,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [97,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [98,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#>  [99,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#> [100,] 0.5387367 0.6070099 0.6718489 0.70282 0.7268393
#> 
#> $interventions_vec$Screening_example$effects$avg_vc
#>  [1] 6.766534 6.218246 5.675728 5.140819 4.615552 4.102170 3.603136 3.121154
#>  [9] 2.659181 2.220445 2.010878 1.848351
#> 
#> $interventions_vec$Screening_example$effects$avg_impact
#>  [1] 0.00000000 0.08102924 0.16120589 0.24025809 0.31788527 0.39375611
#>  [7] 0.46750639 0.53873666 0.60700987 0.67184894 0.70282001 0.72683934
#> 
#> 
#> $interventions_vec$Screening_example$duration
#> [1] 3
#> 
#> $interventions_vec$Screening_example$model_p
#> $interventions_vec$Screening_example$model_p$vec_params
#> $interventions_vec$Screening_example$model_p$vec_params$species_name
#> [1] "Anopheles gambiae"
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$M
#> [1] 0.6134499
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$M.sd
#> [1] 0.003819127
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$Chi
#> [1] 0.7947577
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$A0
#> [1] 0.6419328
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$A0.sd
#> [1] 0.07280429
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$zeta.3
#> [1] 1
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$td
#> [1] 0.33
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$tau
#> [1] 3
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$ts
#> [1] 10
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$to
#> [1] 5
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$endophily
#> [1] 0.7743085
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$endophily.sd
#> [1] 0.01233146
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$endophagy
#> [1] 0.5604133
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$endophagy.sd
#> [1] 0.00505659
#> 
#> 
#> $interventions_vec$Screening_example$model_p$host_params
#> $interventions_vec$Screening_example$model_p$host_params$species_name
#> [1] "Anopheles gambiae" "Anopheles gambiae"
#> 
#> $interventions_vec$Screening_example$model_p$host_params$host
#> [1] "human"  "animal"
#> 
#> $interventions_vec$Screening_example$model_p$host_params$PBi
#> [1] 0.95 0.95
#> 
#> $interventions_vec$Screening_example$model_p$host_params$PCi
#> [1] 0.95 0.95
#> 
#> $interventions_vec$Screening_example$model_p$host_params$PDi
#> [1] 0.99 0.99
#> 
#> $interventions_vec$Screening_example$model_p$host_params$PEi
#> [1] 0.88 0.88
#> 
#> $interventions_vec$Screening_example$model_p$host_params$Kvi
#> [1] 0.03 0.00
#> 
#> $interventions_vec$Screening_example$model_p$host_params$muvA
#> [1] 0.6840223
#> 
#> $interventions_vec$Screening_example$model_p$host_params$alphai
#> [1] 0.0019298339 0.0004983702
#> 
#> 
#> $interventions_vec$Screening_example$model_p$activity
#> $interventions_vec$Screening_example$model_p$activity$HBI
#>  [1] 0.000000000 0.000000000 0.000491400 0.000491400 0.005896806 0.007862408
#>  [7] 0.028009828 0.048157248 0.068304668 0.066339066 0.062899263 0.062899263
#> [13] 0.070270270 0.077641278 0.000000000 0.000000000
#> 
#> $interventions_vec$Screening_example$model_p$activity$HBO
#>  [1] 0.000000000 0.000000000 0.000982801 0.000982801 0.003931204 0.025061425
#>  [7] 0.042260442 0.056019656 0.073710074 0.077149877 0.077149877 0.073710074
#> [13] 0.038329238 0.031449631 0.000000000 0.000000000
#> 
#> $interventions_vec$Screening_example$model_p$activity$humans_indoors
#>  [1] 0.00000000 0.28380952 0.61904762 0.84761905 0.96190476 1.00000000
#>  [7] 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000
#> [13] 0.96190476 0.00952381 0.00000000 0.00000000
#> 
#> $interventions_vec$Screening_example$model_p$activity$humans_in_bed
#>  [1] 0.0000000 0.0000000 0.0000000 0.2271333 0.6666333 1.0000000 1.0000000
#>  [8] 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000 0.8833167 0.2006667
#> [15] 0.0000000 0.0000000
#> 
#> 
#> $interventions_vec$Screening_example$model_p$total_pop
#> [1] 2000
#> 
#> 
#> $interventions_vec$Screening_example$coverages
#>  [1] 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 0.95 0.99
#> 
#> 
#>