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] 0.6133496
#> 
#> $vec_p$M.sd
#> [1] 0.003573648
#> 
#> $vec_p$Chi
#> [1] 0.8510504
#> 
#> $vec_p$A0
#> [1] 0.6281329
#> 
#> $vec_p$A0.sd
#> [1] 0.06781467
#> 
#> $vec_p$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] 0.7756787
#> 
#> $vec_p$endophily.sd
#> [1] 0.01193465
#> 
#> $vec_p$endophagy
#> [1] 0.560532
#> 
#> $vec_p$endophagy.sd
#> [1] 0.004865588
#> 
#> 
#> $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] 0.6592188
#> 
#> $host_p$alphai
#> [1] 0.0019901083 0.0003483059
#> 
#> 
#> $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,] 0.0005512641 0.001990108 0.0003483059
#>   [2,] 0.0005538339 0.001990108 0.0003483059
#>   [3,] 0.0005593423 0.001990108 0.0003483059
#>   [4,] 0.0005666478 0.001990108 0.0003483059
#>   [5,] 0.0005748010 0.001990108 0.0003483059
#>   [6,] 0.0005831938 0.001990108 0.0003483059
#>   [7,] 0.0005914928 0.001990108 0.0003483059
#>   [8,] 0.0005995362 0.001990108 0.0003483059
#>   [9,] 0.0006072583 0.001990108 0.0003483059
#>  [10,] 0.0006146432 0.001990108 0.0003483059
#>  [11,] 0.0006216998 0.001990108 0.0003483059
#>  [12,] 0.0006284480 0.001990108 0.0003483059
#>  [13,] 0.0006349117 0.001990108 0.0003483059
#>  [14,] 0.0006411159 0.001990108 0.0003483059
#>  [15,] 0.0006470839 0.001990108 0.0003483059
#>  [16,] 0.0006528377 0.001990108 0.0003483059
#>  [17,] 0.0006583970 0.001990108 0.0003483059
#>  [18,] 0.0006637796 0.001990108 0.0003483059
#>  [19,] 0.0006690012 0.001990108 0.0003483059
#>  [20,] 0.0006740759 0.001990108 0.0003483059
#>  [21,] 0.0006790161 0.001990108 0.0003483059
#>  [22,] 0.0006838332 0.001990108 0.0003483059
#>  [23,] 0.0006885368 0.001990108 0.0003483059
#>  [24,] 0.0006931359 0.001990108 0.0003483059
#>  [25,] 0.0006976384 0.001990108 0.0003483059
#>  [26,] 0.0007020513 0.001990108 0.0003483059
#>  [27,] 0.0007063810 0.001990108 0.0003483059
#>  [28,] 0.0007106333 0.001990108 0.0003483059
#>  [29,] 0.0007148134 0.001990108 0.0003483059
#>  [30,] 0.0007189258 0.001990108 0.0003483059
#>  [31,] 0.0007229749 0.001990108 0.0003483059
#>  [32,] 0.0007269645 0.001990108 0.0003483059
#>  [33,] 0.0007308981 0.001990108 0.0003483059
#>  [34,] 0.0007347789 0.001990108 0.0003483059
#>  [35,] 0.0007386099 0.001990108 0.0003483059
#>  [36,] 0.0007423938 0.001990108 0.0003483059
#>  [37,] 0.0007461330 0.001990108 0.0003483059
#>  [38,] 0.0007498297 0.001990108 0.0003483059
#>  [39,] 0.0007534862 0.001990108 0.0003483059
#>  [40,] 0.0007571043 0.001990108 0.0003483059
#>  [41,] 0.0007606857 0.001990108 0.0003483059
#>  [42,] 0.0007642323 0.001990108 0.0003483059
#>  [43,] 0.0007677455 0.001990108 0.0003483059
#>  [44,] 0.0007712266 0.001990108 0.0003483059
#>  [45,] 0.0007746772 0.001990108 0.0003483059
#>  [46,] 0.0007780983 0.001990108 0.0003483059
#>  [47,] 0.0007814912 0.001990108 0.0003483059
#>  [48,] 0.0007848569 0.001990108 0.0003483059
#>  [49,] 0.0007881965 0.001990108 0.0003483059
#>  [50,] 0.0007915108 0.001990108 0.0003483059
#>  [51,] 0.0007948009 0.001990108 0.0003483059
#>  [52,] 0.0007980674 0.001990108 0.0003483059
#>  [53,] 0.0008013112 0.001990108 0.0003483059
#>  [54,] 0.0008045331 0.001990108 0.0003483059
#>  [55,] 0.0008077337 0.001990108 0.0003483059
#>  [56,] 0.0008109138 0.001990108 0.0003483059
#>  [57,] 0.0008140738 0.001990108 0.0003483059
#>  [58,] 0.0008172144 0.001990108 0.0003483059
#>  [59,] 0.0008203362 0.001990108 0.0003483059
#>  [60,] 0.0008234397 0.001990108 0.0003483059
#>  [61,] 0.0008265254 0.001990108 0.0003483059
#>  [62,] 0.0008295938 0.001990108 0.0003483059
#>  [63,] 0.0008326453 0.001990108 0.0003483059
#>  [64,] 0.0008356803 0.001990108 0.0003483059
#>  [65,] 0.0008386993 0.001990108 0.0003483059
#>  [66,] 0.0008417027 0.001990108 0.0003483059
#>  [67,] 0.0008446908 0.001990108 0.0003483059
#>  [68,] 0.0008476640 0.001990108 0.0003483059
#>  [69,] 0.0008506226 0.001990108 0.0003483059
#>  [70,] 0.0008535670 0.001990108 0.0003483059
#>  [71,] 0.0008564975 0.001990108 0.0003483059
#>  [72,] 0.0008594143 0.001990108 0.0003483059
#>  [73,] 0.0008623178 0.001990108 0.0003483059
#>  [74,] 0.0008652083 0.001990108 0.0003483059
#>  [75,] 0.0008680860 0.001990108 0.0003483059
#>  [76,] 0.0008709512 0.001990108 0.0003483059
#>  [77,] 0.0008738040 0.001990108 0.0003483059
#>  [78,] 0.0008766449 0.001990108 0.0003483059
#>  [79,] 0.0008794739 0.001990108 0.0003483059
#>  [80,] 0.0008822914 0.001990108 0.0003483059
#>  [81,] 0.0008850975 0.001990108 0.0003483059
#>  [82,] 0.0008878924 0.001990108 0.0003483059
#>  [83,] 0.0008906763 0.001990108 0.0003483059
#>  [84,] 0.0008934496 0.001990108 0.0003483059
#>  [85,] 0.0008962122 0.001990108 0.0003483059
#>  [86,] 0.0008989644 0.001990108 0.0003483059
#>  [87,] 0.0009017065 0.001990108 0.0003483059
#>  [88,] 0.0009044385 0.001990108 0.0003483059
#>  [89,] 0.0009071606 0.001990108 0.0003483059
#>  [90,] 0.0009098730 0.001990108 0.0003483059
#>  [91,] 0.0009125759 0.001990108 0.0003483059
#>  [92,] 0.0009152694 0.001990108 0.0003483059
#>  [93,] 0.0009179536 0.001990108 0.0003483059
#>  [94,] 0.0009206288 0.001990108 0.0003483059
#>  [95,] 0.0009232950 0.001990108 0.0003483059
#>  [96,] 0.0009259524 0.001990108 0.0003483059
#>  [97,] 0.0009286011 0.001990108 0.0003483059
#>  [98,] 0.0009312413 0.001990108 0.0003483059
#>  [99,] 0.0009338731 0.001990108 0.0003483059
#> [100,] 0.0009364965 0.001990108 0.0003483059
#> 
#> $interventions_vec$LLINs_example$effects$PBi
#>              [,1] [,2] [,3]
#>   [1,] 0.08201939 0.95 0.95
#>   [2,] 0.08291286 0.95 0.95
#>   [3,] 0.08438144 0.95 0.95
#>   [4,] 0.08636450 0.95 0.95
#>   [5,] 0.08879304 0.95 0.95
#>   [6,] 0.09160754 0.95 0.95
#>   [7,] 0.09476234 0.95 0.95
#>   [8,] 0.09822386 0.95 0.95
#>   [9,] 0.10196766 0.95 0.95
#>  [10,] 0.10597569 0.95 0.95
#>  [11,] 0.11023438 0.95 0.95
#>  [12,] 0.11473323 0.95 0.95
#>  [13,] 0.11946380 0.95 0.95
#>  [14,] 0.12441910 0.95 0.95
#>  [15,] 0.12959312 0.95 0.95
#>  [16,] 0.13498046 0.95 0.95
#>  [17,] 0.14057615 0.95 0.95
#>  [18,] 0.14637543 0.95 0.95
#>  [19,] 0.15237365 0.95 0.95
#>  [20,] 0.15856619 0.95 0.95
#>  [21,] 0.16494836 0.95 0.95
#>  [22,] 0.17151536 0.95 0.95
#>  [23,] 0.17826227 0.95 0.95
#>  [24,] 0.18518396 0.95 0.95
#>  [25,] 0.19227514 0.95 0.95
#>  [26,] 0.19953031 0.95 0.95
#>  [27,] 0.20694376 0.95 0.95
#>  [28,] 0.21450955 0.95 0.95
#>  [29,] 0.22222157 0.95 0.95
#>  [30,] 0.23007346 0.95 0.95
#>  [31,] 0.23805869 0.95 0.95
#>  [32,] 0.24617055 0.95 0.95
#>  [33,] 0.25440213 0.95 0.95
#>  [34,] 0.26274639 0.95 0.95
#>  [35,] 0.27119611 0.95 0.95
#>  [36,] 0.27974397 0.95 0.95
#>  [37,] 0.28838254 0.95 0.95
#>  [38,] 0.29710429 0.95 0.95
#>  [39,] 0.30590162 0.95 0.95
#>  [40,] 0.31476689 0.95 0.95
#>  [41,] 0.32369241 0.95 0.95
#>  [42,] 0.33267050 0.95 0.95
#>  [43,] 0.34169349 0.95 0.95
#>  [44,] 0.35075372 0.95 0.95
#>  [45,] 0.35984361 0.95 0.95
#>  [46,] 0.36895563 0.95 0.95
#>  [47,] 0.37808234 0.95 0.95
#>  [48,] 0.38721642 0.95 0.95
#>  [49,] 0.39635066 0.95 0.95
#>  [50,] 0.40547800 0.95 0.95
#>  [51,] 0.41459153 0.95 0.95
#>  [52,] 0.42368452 0.95 0.95
#>  [53,] 0.43275041 0.95 0.95
#>  [54,] 0.44178284 0.95 0.95
#>  [55,] 0.45077568 0.95 0.95
#>  [56,] 0.45972298 0.95 0.95
#>  [57,] 0.46861904 0.95 0.95
#>  [58,] 0.47745838 0.95 0.95
#>  [59,] 0.48623578 0.95 0.95
#>  [60,] 0.49494623 0.95 0.95
#>  [61,] 0.50358501 0.95 0.95
#>  [62,] 0.51214761 0.95 0.95
#>  [63,] 0.52062980 0.95 0.95
#>  [64,] 0.52902760 0.95 0.95
#>  [65,] 0.53733726 0.95 0.95
#>  [66,] 0.54555533 0.95 0.95
#>  [67,] 0.55367856 0.95 0.95
#>  [68,] 0.56170398 0.95 0.95
#>  [69,] 0.56962885 0.95 0.95
#>  [70,] 0.57745067 0.95 0.95
#>  [71,] 0.58516718 0.95 0.95
#>  [72,] 0.59277635 0.95 0.95
#>  [73,] 0.60027637 0.95 0.95
#>  [74,] 0.60766565 0.95 0.95
#>  [75,] 0.61494280 0.95 0.95
#>  [76,] 0.62210665 0.95 0.95
#>  [77,] 0.62915621 0.95 0.95
#>  [78,] 0.63609070 0.95 0.95
#>  [79,] 0.64290949 0.95 0.95
#>  [80,] 0.64961216 0.95 0.95
#>  [81,] 0.65619842 0.95 0.95
#>  [82,] 0.66266815 0.95 0.95
#>  [83,] 0.66902140 0.95 0.95
#>  [84,] 0.67525833 0.95 0.95
#>  [85,] 0.68137924 0.95 0.95
#>  [86,] 0.68738458 0.95 0.95
#>  [87,] 0.69327488 0.95 0.95
#>  [88,] 0.69905082 0.95 0.95
#>  [89,] 0.70471315 0.95 0.95
#>  [90,] 0.71026273 0.95 0.95
#>  [91,] 0.71570051 0.95 0.95
#>  [92,] 0.72102752 0.95 0.95
#>  [93,] 0.72624487 0.95 0.95
#>  [94,] 0.73135373 0.95 0.95
#>  [95,] 0.73635535 0.95 0.95
#>  [96,] 0.74125101 0.95 0.95
#>  [97,] 0.74604208 0.95 0.95
#>  [98,] 0.75072993 0.95 0.95
#>  [99,] 0.75531601 0.95 0.95
#> [100,] 0.75980179 0.95 0.95
#> 
#> $interventions_vec$LLINs_example$effects$PCi
#>             [,1] [,2] [,3]
#>   [1,] 0.3761883 0.95 0.95
#>   [2,] 0.3819880 0.95 0.95
#>   [3,] 0.3895397 0.95 0.95
#>   [4,] 0.3981217 0.95 0.95
#>   [5,] 0.4071445 0.95 0.95
#>   [6,] 0.4162365 0.95 0.95
#>   [7,] 0.4251989 0.95 0.95
#>   [8,] 0.4339388 0.95 0.95
#>   [9,] 0.4424221 0.95 0.95
#>  [10,] 0.4506438 0.95 0.95
#>  [11,] 0.4586136 0.95 0.95
#>  [12,] 0.4663470 0.95 0.95
#>  [13,] 0.4738613 0.95 0.95
#>  [14,] 0.4811738 0.95 0.95
#>  [15,] 0.4883005 0.95 0.95
#>  [16,] 0.4952562 0.95 0.95
#>  [17,] 0.5020539 0.95 0.95
#>  [18,] 0.5087054 0.95 0.95
#>  [19,] 0.5152210 0.95 0.95
#>  [20,] 0.5216097 0.95 0.95
#>  [21,] 0.5278795 0.95 0.95
#>  [22,] 0.5340376 0.95 0.95
#>  [23,] 0.5400901 0.95 0.95
#>  [24,] 0.5460427 0.95 0.95
#>  [25,] 0.5519002 0.95 0.95
#>  [26,] 0.5576669 0.95 0.95
#>  [27,] 0.5633468 0.95 0.95
#>  [28,] 0.5689433 0.95 0.95
#>  [29,] 0.5744595 0.95 0.95
#>  [30,] 0.5798982 0.95 0.95
#>  [31,] 0.5852619 0.95 0.95
#>  [32,] 0.5905528 0.95 0.95
#>  [33,] 0.5957730 0.95 0.95
#>  [34,] 0.6009243 0.95 0.95
#>  [35,] 0.6060084 0.95 0.95
#>  [36,] 0.6110268 0.95 0.95
#>  [37,] 0.6159808 0.95 0.95
#>  [38,] 0.6208718 0.95 0.95
#>  [39,] 0.6257009 0.95 0.95
#>  [40,] 0.6304692 0.95 0.95
#>  [41,] 0.6351777 0.95 0.95
#>  [42,] 0.6398272 0.95 0.95
#>  [43,] 0.6444187 0.95 0.95
#>  [44,] 0.6489529 0.95 0.95
#>  [45,] 0.6534306 0.95 0.95
#>  [46,] 0.6578525 0.95 0.95
#>  [47,] 0.6622191 0.95 0.95
#>  [48,] 0.6665312 0.95 0.95
#>  [49,] 0.6707894 0.95 0.95
#>  [50,] 0.6749941 0.95 0.95
#>  [51,] 0.6791460 0.95 0.95
#>  [52,] 0.6832455 0.95 0.95
#>  [53,] 0.6872931 0.95 0.95
#>  [54,] 0.6912894 0.95 0.95
#>  [55,] 0.6952347 0.95 0.95
#>  [56,] 0.6991296 0.95 0.95
#>  [57,] 0.7029745 0.95 0.95
#>  [58,] 0.7067698 0.95 0.95
#>  [59,] 0.7105159 0.95 0.95
#>  [60,] 0.7142132 0.95 0.95
#>  [61,] 0.7178623 0.95 0.95
#>  [62,] 0.7214634 0.95 0.95
#>  [63,] 0.7250169 0.95 0.95
#>  [64,] 0.7285234 0.95 0.95
#>  [65,] 0.7319831 0.95 0.95
#>  [66,] 0.7353965 0.95 0.95
#>  [67,] 0.7387639 0.95 0.95
#>  [68,] 0.7420858 0.95 0.95
#>  [69,] 0.7453626 0.95 0.95
#>  [70,] 0.7485946 0.95 0.95
#>  [71,] 0.7517822 0.95 0.95
#>  [72,] 0.7549259 0.95 0.95
#>  [73,] 0.7580259 0.95 0.95
#>  [74,] 0.7610828 0.95 0.95
#>  [75,] 0.7640970 0.95 0.95
#>  [76,] 0.7670687 0.95 0.95
#>  [77,] 0.7699984 0.95 0.95
#>  [78,] 0.7728865 0.95 0.95
#>  [79,] 0.7757334 0.95 0.95
#>  [80,] 0.7785396 0.95 0.95
#>  [81,] 0.7813053 0.95 0.95
#>  [82,] 0.7840310 0.95 0.95
#>  [83,] 0.7867172 0.95 0.95
#>  [84,] 0.7893641 0.95 0.95
#>  [85,] 0.7919723 0.95 0.95
#>  [86,] 0.7945421 0.95 0.95
#>  [87,] 0.7970739 0.95 0.95
#>  [88,] 0.7995681 0.95 0.95
#>  [89,] 0.8020252 0.95 0.95
#>  [90,] 0.8044455 0.95 0.95
#>  [91,] 0.8068294 0.95 0.95
#>  [92,] 0.8091774 0.95 0.95
#>  [93,] 0.8114899 0.95 0.95
#>  [94,] 0.8137672 0.95 0.95
#>  [95,] 0.8160098 0.95 0.95
#>  [96,] 0.8182180 0.95 0.95
#>  [97,] 0.8203924 0.95 0.95
#>  [98,] 0.8225332 0.95 0.95
#>  [99,] 0.8246409 0.95 0.95
#> [100,] 0.8267159 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] 0.7229979 0.7217067 0.7189387 0.7152679 0.7111710 0.7069537 0.7027836
#>   [8] 0.6987419 0.6948617 0.6911509 0.6876050 0.6842142 0.6809662 0.6778488
#>  [15] 0.6748499 0.6719587 0.6691652 0.6664606 0.6638368 0.6612868 0.6588044
#>  [22] 0.6563839 0.6540204 0.6517095 0.6494470 0.6472296 0.6450540 0.6429172
#>  [29] 0.6408168 0.6387504 0.6367158 0.6347111 0.6327345 0.6307845 0.6288594
#>  [36] 0.6269581 0.6250792 0.6232216 0.6213843 0.6195663 0.6177666 0.6159846
#>  [43] 0.6142193 0.6124700 0.6107362 0.6090171 0.6073122 0.6056210 0.6039429
#>  [50] 0.6022775 0.6006243 0.5989829 0.5973529 0.5957340 0.5941257 0.5925278
#>  [57] 0.5909399 0.5893618 0.5877932 0.5862337 0.5846832 0.5831414 0.5816081
#>  [64] 0.5800830 0.5785660 0.5770568 0.5755554 0.5740614 0.5725747 0.5710952
#>  [71] 0.5696227 0.5681570 0.5666980 0.5652456 0.5637996 0.5623599 0.5609264
#>  [78] 0.5594989 0.5580773 0.5566616 0.5552516 0.5538472 0.5524483 0.5510548
#>  [85] 0.5496666 0.5482837 0.5469058 0.5455330 0.5441652 0.5428023 0.5414441
#>  [92] 0.5400907 0.5387419 0.5373976 0.5360579 0.5347226 0.5333917 0.5320650
#>  [99] 0.5307426 0.5294243
#> 
#> $interventions_vec$LLINs_example$effects$PBi_decay
#>   [1] 0.9136638 0.9127233 0.9111774 0.9090900 0.9065336 0.9035710 0.9002502
#>   [8] 0.8966065 0.8926656 0.8884466 0.8839638 0.8792282 0.8742486 0.8690325
#>  [15] 0.8635862 0.8579153 0.8520251 0.8459206 0.8396067 0.8330882 0.8263702
#>  [22] 0.8194575 0.8123555 0.8050695 0.7976051 0.7899681 0.7821645 0.7742005
#>  [29] 0.7660826 0.7578174 0.7494119 0.7408731 0.7322083 0.7234249 0.7145304
#>  [36] 0.7055327 0.6964394 0.6872586 0.6779983 0.6686664 0.6592711 0.6498205
#>  [43] 0.6403226 0.6307856 0.6212172 0.6116257 0.6020186 0.5924038 0.5827888
#>  [50] 0.5731811 0.5635879 0.5540163 0.5444733 0.5349654 0.5254993 0.5160811
#>  [57] 0.5067168 0.4974122 0.4881729 0.4790040 0.4699105 0.4608973 0.4519686
#>  [64] 0.4431288 0.4343818 0.4257312 0.4171805 0.4087327 0.4003907 0.3921572
#>  [71] 0.3840345 0.3760249 0.3681301 0.3603519 0.3526918 0.3451509 0.3377303
#>  [78] 0.3304308 0.3232532 0.3161977 0.3092648 0.3024546 0.2957669 0.2892018
#>  [85] 0.2827587 0.2764373 0.2702370 0.2641570 0.2581967 0.2523550 0.2466310
#>  [92] 0.2410237 0.2355317 0.2301540 0.2248891 0.2197358 0.2146926 0.2097580
#>  [99] 0.2049305 0.2002086
#> 
#> $interventions_vec$LLINs_example$effects$PCi_decay
#>   [1] 0.6040123 0.5979073 0.5899582 0.5809245 0.5714269 0.5618563 0.5524223
#>   [8] 0.5432223 0.5342926 0.5256381 0.5172488 0.5091084 0.5011986 0.4935013
#>  [15] 0.4859995 0.4786777 0.4715222 0.4645206 0.4576621 0.4509372 0.4443374
#>  [22] 0.4378552 0.4314841 0.4252182 0.4190525 0.4129822 0.4070034 0.4011123
#>  [29] 0.3953058 0.3895808 0.3839348 0.3783654 0.3728705 0.3674481 0.3620964
#>  [36] 0.3568139 0.3515991 0.3464507 0.3413674 0.3363482 0.3313919 0.3264976
#>  [43] 0.3216645 0.3168917 0.3121783 0.3075237 0.3029272 0.2983882 0.2939059
#>  [50] 0.2894799 0.2851095 0.2807942 0.2765335 0.2723269 0.2681739 0.2640741
#>  [57] 0.2600268 0.2560318 0.2520886 0.2481966 0.2443555 0.2405649 0.2368243
#>  [64] 0.2331333 0.2294915 0.2258985 0.2223538 0.2188570 0.2154078 0.2120057
#>  [71] 0.2086503 0.2053412 0.2020780 0.1988602 0.1956874 0.1925593 0.1894754
#>  [78] 0.1864352 0.1834385 0.1804847 0.1775734 0.1747042 0.1718767 0.1690904
#>  [85] 0.1663450 0.1636399 0.1609749 0.1583494 0.1557630 0.1532153 0.1507059
#>  [92] 0.1482343 0.1458002 0.1434030 0.1410423 0.1387179 0.1364291 0.1341756
#>  [99] 0.1319569 0.1297727
#> 
#> $interventions_vec$LLINs_example$effects$vc
#>            [,1]     [,2]     [,3]     [,4]     [,5]     [,6]      [,7]
#>   [1,] 7.849775 5.892486 4.289610 3.005599 2.005242 1.253492 0.7153518
#>   [2,] 7.849775 5.890002 4.286068 3.001980 2.002143 1.251205 0.7139261
#>   [3,] 7.849775 5.884037 4.277504 2.993137 1.994465 1.245413 0.7101814
#>   [4,] 7.849775 5.876164 4.266225 2.981519 1.984404 1.237849 0.7053116
#>   [5,] 7.849775 5.867670 4.254118 2.969123 1.973746 1.229916 0.7002780
#>   [6,] 7.849775 5.859372 4.242370 2.957192 1.963599 1.222474 0.6956672
#>   [7,] 7.849775 5.851706 4.231610 2.946384 1.954539 1.215969 0.6917778
#>   [8,] 7.849775 5.844877 4.222129 2.936994 1.946821 1.210593 0.6887366
#>   [9,] 7.849775 5.838961 4.214031 2.929125 1.940530 1.206406 0.6865802
#>  [10,] 7.849775 5.833972 4.207329 2.922783 1.935664 1.203403 0.6853026
#>  [11,] 7.849775 5.829891 4.201991 2.917929 1.932186 1.201551 0.6848795
#>  [12,] 7.849775 5.826686 4.197966 2.914508 1.930043 1.200808 0.6852814
#>  [13,] 7.849775 5.824323 4.195203 2.912460 1.929180 1.201129 0.6864788
#>  [14,] 7.849775 5.822765 4.193646 2.911729 1.929546 1.202475 0.6884453
#>  [15,] 7.849775 5.821981 4.193247 2.912261 1.931094 1.204810 0.6911584
#>  [16,] 7.849775 5.821939 4.193962 2.914010 1.933782 1.208104 0.6945995
#>  [17,] 7.849775 5.822614 4.195751 2.916935 1.937576 1.212330 0.6987540
#>  [18,] 7.849775 5.823980 4.198580 2.921000 1.942446 1.217468 0.7036107
#>  [19,] 7.849775 5.826017 4.202418 2.926174 1.948365 1.223500 0.7091618
#>  [20,] 7.849775 5.828705 4.207237 2.932430 1.955312 1.230413 0.7154018
#>  [21,] 7.849775 5.832027 4.213013 2.939745 1.963269 1.238197 0.7223280
#>  [22,] 7.849775 5.835967 4.219724 2.948097 1.972220 1.246842 0.7299397
#>  [23,] 7.849775 5.840509 4.227351 2.957469 1.982153 1.256344 0.7382380
#>  [24,] 7.849775 5.845641 4.235876 2.967843 1.993057 1.266697 0.7472255
#>  [25,] 7.849775 5.851349 4.245281 2.979206 2.004921 1.277901 0.7569064
#>  [26,] 7.849775 5.857621 4.255551 2.991544 2.017739 1.289953 0.7672860
#>  [27,] 7.849775 5.864446 4.266671 3.004844 2.031504 1.302853 0.7783705
#>  [28,] 7.849775 5.871812 4.278627 3.019095 2.046209 1.316603 0.7901672
#>  [29,] 7.849775 5.879707 4.291405 3.034286 2.061849 1.331204 0.8026840
#>  [30,] 7.849775 5.888121 4.304990 3.050406 2.078421 1.346658 0.8159295
#>  [31,] 7.849775 5.897042 4.319370 3.067444 2.095918 1.362968 0.8299127
#>  [32,] 7.849775 5.906459 4.334531 3.085390 2.114337 1.380136 0.8446431
#>  [33,] 7.849775 5.916360 4.350459 3.104233 2.133673 1.398166 0.8601304
#>  [34,] 7.849775 5.926735 4.367140 3.123963 2.153923 1.417060 0.8763847
#>  [35,] 7.849775 5.937571 4.384560 3.144569 2.175082 1.436822 0.8934160
#>  [36,] 7.849775 5.948857 4.402704 3.166040 2.197144 1.457454 0.9112345
#>  [37,] 7.849775 5.960581 4.421557 3.188363 2.220105 1.478959 0.9298501
#>  [38,] 7.849775 5.972729 4.441105 3.211526 2.243959 1.501340 0.9492728
#>  [39,] 7.849775 5.985289 4.461331 3.235518 2.268700 1.524598 0.9695123
#>  [40,] 7.849775 5.998249 4.482219 3.260324 2.294321 1.548734 0.9905779
#>  [41,] 7.849775 6.011595 4.503752 3.285932 2.320815 1.573750 1.0124787
#>  [42,] 7.849775 6.025314 4.525913 3.312326 2.348175 1.599645 1.0352231
#>  [43,] 7.849775 6.039392 4.548686 3.339491 2.376391 1.626420 1.0588192
#>  [44,] 7.849775 6.053816 4.572050 3.367412 2.405454 1.654073 1.0832744
#>  [45,] 7.849775 6.068570 4.595989 3.396072 2.435354 1.682602 1.1085955
#>  [46,] 7.849775 6.083641 4.620483 3.425455 2.466080 1.712005 1.1347884
#>  [47,] 7.849775 6.099015 4.645513 3.455543 2.497621 1.742277 1.1618584
#>  [48,] 7.849775 6.114676 4.671059 3.486317 2.529963 1.773415 1.1898099
#>  [49,] 7.849775 6.130611 4.697102 3.517759 2.563094 1.805413 1.2186463
#>  [50,] 7.849775 6.146804 4.723619 3.549849 2.596999 1.838265 1.2483702
#>  [51,] 7.849775 6.163240 4.750592 3.582567 2.631664 1.871963 1.2789830
#>  [52,] 7.849775 6.179904 4.777998 3.615893 2.667071 1.906499 1.3104852
#>  [53,] 7.849775 6.196783 4.805818 3.649805 2.703205 1.941863 1.3428762
#>  [54,] 7.849775 6.213860 4.834028 3.684282 2.740049 1.978045 1.3761542
#>  [55,] 7.849775 6.231121 4.862609 3.719301 2.777583 2.015034 1.4103162
#>  [56,] 7.849775 6.248552 4.891537 3.754840 2.815789 2.052818 1.4453583
#>  [57,] 7.849775 6.266137 4.920792 3.790876 2.854648 2.091382 1.4812751
#>  [58,] 7.849775 6.283862 4.950352 3.827386 2.894138 2.130712 1.5180601
#>  [59,] 7.849775 6.301713 4.980194 3.864346 2.934239 2.170793 1.5557056
#>  [60,] 7.849775 6.319676 5.010298 3.901733 2.974928 2.211609 1.5942027
#>  [61,] 7.849775 6.337737 5.040642 3.939522 3.016185 2.253142 1.6335412
#>  [62,] 7.849775 6.355881 5.071204 3.977689 3.057985 2.295373 1.6737097
#>  [63,] 7.849775 6.374097 5.101963 4.016210 3.100306 2.338284 1.7146957
#>  [64,] 7.849775 6.392369 5.132898 4.055061 3.143123 2.381855 1.7564854
#>  [65,] 7.849775 6.410686 5.163988 4.094217 3.186413 2.426065 1.7990638
#>  [66,] 7.849775 6.429036 5.195212 4.133653 3.230151 2.470891 1.8424150
#>  [67,] 7.849775 6.447404 5.226550 4.173346 3.274312 2.516313 1.8865218
#>  [68,] 7.849775 6.465781 5.257983 4.213271 3.318872 2.562307 1.9313660
#>  [69,] 7.849775 6.484154 5.289490 4.253405 3.363803 2.608849 1.9769283
#>  [70,] 7.849775 6.502511 5.321053 4.293722 3.409083 2.655916 2.0231885
#>  [71,] 7.849775 6.520843 5.352653 4.334200 3.454684 2.703482 2.0701256
#>  [72,] 7.849775 6.539139 5.384271 4.374815 3.500581 2.751523 2.1177174
#>  [73,] 7.849775 6.557388 5.415890 4.415544 3.546748 2.800013 2.1659411
#>  [74,] 7.849775 6.575581 5.447492 4.456364 3.593161 2.848926 2.2147732
#>  [75,] 7.849775 6.593708 5.479060 4.497254 3.639793 2.898237 2.2641892
#>  [76,] 7.849775 6.611761 5.510578 4.538190 3.686619 2.947918 2.3141643
#>  [77,] 7.849775 6.629732 5.542030 4.579153 3.733614 2.997944 2.3646728
#>  [78,] 7.849775 6.647611 5.573401 4.620119 3.780753 3.048287 2.4156886
#>  [79,] 7.849775 6.665391 5.604675 4.661069 3.828012 3.098922 2.4671853
#>  [80,] 7.849775 6.683065 5.635839 4.701984 3.875366 3.149820 2.5191359
#>  [81,] 7.849775 6.700627 5.666879 4.742842 3.922791 3.200957 2.5715130
#>  [82,] 7.849775 6.718068 5.697782 4.783626 3.970264 3.252305 2.6242892
#>  [83,] 7.849775 6.735384 5.728535 4.824317 4.017762 3.303837 2.6774366
#>  [84,] 7.849775 6.752568 5.759127 4.864897 4.065261 3.355529 2.7309274
#>  [85,] 7.849775 6.769615 5.789545 4.905349 4.112740 3.407353 2.7847335
#>  [86,] 7.849775 6.786519 5.819779 4.945656 4.160177 3.459284 2.8388270
#>  [87,] 7.849775 6.803276 5.849818 4.985802 4.207550 3.511297 2.8931798
#>  [88,] 7.849775 6.819882 5.879653 5.025772 4.254840 3.563367 2.9477640
#>  [89,] 7.849775 6.836332 5.909275 5.065551 4.302025 3.615469 3.0025519
#>  [90,] 7.849775 6.852623 5.938674 5.105124 4.349087 3.667579 3.0575160
#>  [91,] 7.849775 6.868751 5.967842 5.144479 4.396006 3.719674 3.1126288
#>  [92,] 7.849775 6.884713 5.996772 5.183601 4.442765 3.771730 3.1678633
#>  [93,] 7.849775 6.900507 6.025457 5.222480 4.489345 3.823725 3.2231928
#>  [94,] 7.849775 6.916128 6.053889 5.261103 4.535730 3.875637 3.2785911
#>  [95,] 7.849775 6.931576 6.082063 5.299458 4.581903 3.927444 3.3340321
#>  [96,] 7.849775 6.946849 6.109972 5.337536 4.627848 3.979126 3.3894905
#>  [97,] 7.849775 6.961943 6.137612 5.375327 4.673551 4.030662 3.4449412
#>  [98,] 7.849775 6.976859 6.164978 5.412821 4.718997 4.082032 3.5003597
#>  [99,] 7.849775 6.991594 6.192064 5.450009 4.764172 4.133218 3.5557223
#> [100,] 7.849775 7.006147 6.218868 5.486883 4.809063 4.184202 3.6110054
#>             [,8]      [,9]      [,10]       [,11]       [,12]
#>   [1,] 0.3558247 0.1399452 0.03292615 0.009482469 0.001294430
#>   [2,] 0.3551357 0.1397603 0.03297056 0.009543383 0.001328713
#>   [3,] 0.3531854 0.1390896 0.03295104 0.009619001 0.001384087
#>   [4,] 0.3506659 0.1382367 0.03293852 0.009725575 0.001460793
#>   [5,] 0.3481308 0.1374427 0.03298841 0.009875588 0.001559154
#>   [6,] 0.3459154 0.1368517 0.03313347 0.010076581 0.001679886
#>   [7,] 0.3441877 0.1365352 0.03338997 0.010332769 0.001824184
#>   [8,] 0.3430175 0.1365220 0.03376495 0.010646769 0.001993719
#>   [9,] 0.3424236 0.1368201 0.03426125 0.011020702 0.002190599
#>  [10,] 0.3424013 0.1374276 0.03488017 0.011456786 0.002417343
#>  [11,] 0.3429367 0.1383398 0.03562283 0.011957611 0.002676864
#>  [12,] 0.3440134 0.1395512 0.03649083 0.012526266 0.002972461
#>  [13,] 0.3456160 0.1410578 0.03748654 0.013166389 0.003307830
#>  [14,] 0.3477315 0.1428568 0.03861317 0.013882191 0.003687064
#>  [15,] 0.3503495 0.1449473 0.03987478 0.014678460 0.004114679
#>  [16,] 0.3534626 0.1473301 0.04127633 0.015560572 0.004595626
#>  [17,] 0.3570662 0.1500076 0.04282361 0.016534492 0.005135315
#>  [18,] 0.3611578 0.1529837 0.04452323 0.017606791 0.005739644
#>  [19,] 0.3657376 0.1562637 0.04638263 0.018784650 0.006415019
#>  [20,] 0.3708072 0.1598543 0.04841001 0.020075881 0.007168385
#>  [21,] 0.3763706 0.1637633 0.05061439 0.021488943 0.008007255
#>  [22,] 0.3824328 0.1679997 0.05300555 0.023032955 0.008939741
#>  [23,] 0.3890008 0.1725734 0.05559406 0.024717721 0.009974579
#>  [24,] 0.3960824 0.1774955 0.05839124 0.026553748 0.011121166
#>  [25,] 0.4036868 0.1827778 0.06140923 0.028552264 0.012389584
#>  [26,] 0.4118242 0.1884333 0.06466093 0.030725240 0.013790634
#>  [27,] 0.4205058 0.1944757 0.06816001 0.033085405 0.015335860
#>  [28,] 0.4297433 0.2009194 0.07192096 0.035646265 0.017037580
#>  [29,] 0.4395497 0.2077796 0.07595901 0.038422120 0.018908910
#>  [30,] 0.4499383 0.2150724 0.08029020 0.041428072 0.020963784
#>  [31,] 0.4609231 0.2228145 0.08493134 0.044680039 0.023216982
#>  [32,] 0.4725187 0.2310232 0.08990000 0.048194759 0.025684139
#>  [33,] 0.4847399 0.2397163 0.09521452 0.051989797 0.028381767
#>  [34,] 0.4976021 0.2489125 0.10089395 0.056083540 0.031327261
#>  [35,] 0.5111211 0.2586307 0.10695811 0.060495196 0.034538906
#>  [36,] 0.5253127 0.2688903 0.11342748 0.065244782 0.038035879
#>  [37,] 0.5401929 0.2797114 0.12032323 0.070353111 0.041838245
#>  [38,] 0.5557778 0.2911140 0.12766716 0.075841769 0.045966949
#>  [39,] 0.5720837 0.3031188 0.13548168 0.081733093 0.050443800
#>  [40,] 0.5891267 0.3157465 0.14378974 0.088050139 0.055291452
#>  [41,] 0.6069226 0.3290181 0.15261481 0.094816642 0.060533375
#>  [42,] 0.6254872 0.3429545 0.16198080 0.102056975 0.066193822
#>  [43,] 0.6448360 0.3575770 0.17191204 0.109796099 0.072297788
#>  [44,] 0.6649841 0.3729064 0.18243317 0.118059507 0.078870963
#>  [45,] 0.6859460 0.3889636 0.19356909 0.126873161 0.085939680
#>  [46,] 0.7077360 0.4057695 0.20534489 0.136263427 0.093530852
#>  [47,] 0.7303675 0.4233442 0.21778577 0.146256999 0.101671903
#>  [48,] 0.7538534 0.4417079 0.23091695 0.156880819 0.110390699
#>  [49,] 0.7782057 0.4608801 0.24476358 0.168161996 0.119715461
#>  [50,] 0.8034358 0.4808798 0.25935067 0.180127715 0.129674687
#>  [51,] 0.8295541 0.5017254 0.27470298 0.192805143 0.140297050
#>  [52,] 0.8565700 0.5234346 0.29084491 0.206221333 0.151611313
#>  [53,] 0.8844919 0.5460242 0.30780045 0.220403121 0.163646217
#>  [54,] 0.9133272 0.5695102 0.32559303 0.235377025 0.176430382
#>  [55,] 0.9430820 0.5939077 0.34424544 0.251169141 0.189992197
#>  [56,] 0.9737615 0.6192307 0.36377974 0.267805031 0.204359708
#>  [57,] 1.0053693 0.6454920 0.38421717 0.285309622 0.219560505
#>  [58,] 1.0379080 0.6727032 0.40557802 0.303707093 0.235621610
#>  [59,] 1.0713788 0.7008749 0.42788155 0.323020774 0.252569358
#>  [60,] 1.1057815 0.7300162 0.45114592 0.343273037 0.270429286
#>  [61,] 1.1411146 0.7601347 0.47538807 0.364485197 0.289226022
#>  [62,] 1.1773752 0.7912369 0.50062367 0.386677410 0.308983168
#>  [63,] 1.2145589 0.8233275 0.52686699 0.409868578 0.329723200
#>  [64,] 1.2526599 0.8564100 0.55413089 0.434076260 0.351467356
#>  [65,] 1.2916712 0.8904860 0.58242669 0.459316583 0.374235542
#>  [66,] 1.3315842 0.9255558 0.61176415 0.485604165 0.398046235
#>  [67,] 1.3723887 0.9616181 0.64215141 0.512952037 0.422916392
#>  [68,] 1.4140736 0.9986698 0.67359492 0.541371580 0.448861370
#>  [69,] 1.4566259 1.0367064 0.70609942 0.570872461 0.475894850
#>  [70,] 1.5000317 1.0757216 0.73966788 0.601462583 0.504028766
#>  [71,] 1.5442755 1.1157077 0.77430151 0.633148040 0.533273249
#>  [72,] 1.5893406 1.1566553 0.80999972 0.665933077 0.563636567
#>  [73,] 1.6352091 1.1985534 0.84676011 0.699820067 0.595125089
#>  [74,] 1.6818620 1.2413894 0.88457848 0.734809486 0.627743245
#>  [75,] 1.7292790 1.2851494 0.92344882 0.770899907 0.661493500
#>  [76,] 1.7774388 1.3298178 0.96336332 0.808087988 0.696376335
#>  [77,] 1.8263191 1.3753777 1.00431240 0.846368486 0.732390240
#>  [78,] 1.8758966 1.4218109 1.04628477 0.885734262 0.769531714
#>  [79,] 1.9261470 1.4690976 1.08926739 0.926176309 0.807795272
#>  [80,] 1.9770455 1.5172169 1.13324556 0.967683776 0.847173459
#>  [81,] 2.0285661 1.5661468 1.17820298 1.010244003 0.887656881
#>  [82,] 2.0806823 1.6158640 1.22412177 1.053842566 0.929234234
#>  [83,] 2.1333672 1.6663441 1.27098252 1.098463327 0.971892342
#>  [84,] 2.1865929 1.7175619 1.31876441 1.144088486 1.015616208
#>  [85,] 2.2403314 1.7694910 1.36744520 1.190698642 1.060389066
#>  [86,] 2.2945541 1.8221044 1.41700138 1.238272863 1.106192442
#>  [87,] 2.3492320 1.8753742 1.46740817 1.286788751 1.153006218
#>  [88,] 2.4043359 1.9292717 1.51863966 1.336222521 1.200808701
#>  [89,] 2.4598365 1.9837678 1.57066885 1.386549077 1.249576704
#>  [90,] 2.5157041 2.0388326 1.62346774 1.437742094 1.299285620
#>  [91,] 2.5719092 2.0944361 1.67700744 1.489774102 1.349909504
#>  [92,] 2.6284221 2.1505475 1.73125822 1.542616571 1.401421164
#>  [93,] 2.6852132 2.2071359 1.78618961 1.596239999 1.453792243
#>  [94,] 2.7422530 2.2641701 1.84177047 1.650614001 1.506993314
#>  [95,] 2.7995123 2.3216189 1.89796911 1.705707395 1.560993966
#>  [96,] 2.8569618 2.3794507 1.95475334 1.761488295 1.615762901
#>  [97,] 2.9145728 2.4376341 2.01209057 1.817924198 1.671268021
#>  [98,] 2.9723167 2.4961376 2.06994788 1.874982072 1.727476526
#>  [99,] 3.0301655 2.5549300 2.12829212 1.932628440 1.784355001
#> [100,] 3.0880913 2.6139800 2.18708995 1.990829472 1.841869509
#> 
#> $interventions_vec$LLINs_example$effects$impact
#>        [,1]      [,2]      [,3]      [,4]      [,5]      [,6]      [,7]
#>   [1,]    0 0.2493432 0.4535372 0.6171101 0.7445478 0.8403149 0.9088698
#>   [2,]    0 0.2496598 0.4539883 0.6175712 0.7449425 0.8406063 0.9090514
#>   [3,]    0 0.2504196 0.4550793 0.6186977 0.7459208 0.8413441 0.9095284
#>   [4,]    0 0.2514226 0.4565163 0.6201777 0.7472025 0.8423076 0.9101488
#>   [5,]    0 0.2525046 0.4580585 0.6217570 0.7485601 0.8433183 0.9107901
#>   [6,]    0 0.2535617 0.4595552 0.6232768 0.7498528 0.8442664 0.9113774
#>   [7,]    0 0.2545383 0.4609259 0.6246536 0.7510070 0.8450951 0.9118729
#>   [8,]    0 0.2554083 0.4621337 0.6258498 0.7519902 0.8457800 0.9122603
#>   [9,]    0 0.2561619 0.4631653 0.6268523 0.7527916 0.8463133 0.9125350
#>  [10,]    0 0.2567975 0.4640191 0.6276603 0.7534115 0.8466959 0.9126978
#>  [11,]    0 0.2573174 0.4646992 0.6282786 0.7538546 0.8469318 0.9127517
#>  [12,]    0 0.2577257 0.4652118 0.6287144 0.7541276 0.8470265 0.9127005
#>  [13,]    0 0.2580268 0.4655639 0.6289753 0.7542375 0.8469855 0.9125480
#>  [14,]    0 0.2582252 0.4657623 0.6290685 0.7541909 0.8468140 0.9122974
#>  [15,]    0 0.2583251 0.4658131 0.6290007 0.7539938 0.8465166 0.9119518
#>  [16,]    0 0.2583304 0.4657220 0.6287779 0.7536513 0.8460970 0.9115135
#>  [17,]    0 0.2582445 0.4654940 0.6284053 0.7531679 0.8455586 0.9109842
#>  [18,]    0 0.2580704 0.4651337 0.6278874 0.7525476 0.8449041 0.9103655
#>  [19,]    0 0.2578109 0.4646448 0.6272283 0.7517935 0.8441356 0.9096583
#>  [20,]    0 0.2574684 0.4640309 0.6264313 0.7509085 0.8432549 0.9088634
#>  [21,]    0 0.2570453 0.4632951 0.6254995 0.7498949 0.8422634 0.9079811
#>  [22,]    0 0.2565434 0.4624401 0.6244355 0.7487545 0.8411620 0.9070114
#>  [23,]    0 0.2559648 0.4614685 0.6232416 0.7474892 0.8399516 0.9059542
#>  [24,]    0 0.2553110 0.4603825 0.6219199 0.7461001 0.8386326 0.9048093
#>  [25,]    0 0.2545838 0.4591844 0.6204724 0.7445887 0.8372054 0.9035760
#>  [26,]    0 0.2537848 0.4578760 0.6189007 0.7429558 0.8356701 0.9022538
#>  [27,]    0 0.2529154 0.4564594 0.6172063 0.7412023 0.8340267 0.9008417
#>  [28,]    0 0.2519770 0.4549363 0.6153908 0.7393290 0.8322750 0.8993389
#>  [29,]    0 0.2509712 0.4533085 0.6134557 0.7373365 0.8304150 0.8977443
#>  [30,]    0 0.2498994 0.4515778 0.6114021 0.7352254 0.8284463 0.8960570
#>  [31,]    0 0.2487629 0.4497459 0.6092316 0.7329964 0.8263685 0.8942756
#>  [32,]    0 0.2475633 0.4478145 0.6069454 0.7306500 0.8241814 0.8923991
#>  [33,]    0 0.2463019 0.4457855 0.6045449 0.7281867 0.8218846 0.8904261
#>  [34,]    0 0.2449802 0.4436604 0.6020315 0.7256070 0.8194776 0.8883554
#>  [35,]    0 0.2435998 0.4414413 0.5994064 0.7229116 0.8169601 0.8861858
#>  [36,]    0 0.2421620 0.4391299 0.5966713 0.7201010 0.8143317 0.8839158
#>  [37,]    0 0.2406686 0.4367281 0.5938275 0.7171760 0.8115921 0.8815444
#>  [38,]    0 0.2391210 0.4342379 0.5908766 0.7141372 0.8087410 0.8790701
#>  [39,]    0 0.2375209 0.4316613 0.5878203 0.7109854 0.8057781 0.8764917
#>  [40,]    0 0.2358699 0.4290003 0.5846601 0.7077214 0.8027034 0.8738081
#>  [41,]    0 0.2341697 0.4262572 0.5813979 0.7043462 0.7995166 0.8710181
#>  [42,]    0 0.2324220 0.4234340 0.5780356 0.7008609 0.7962177 0.8681207
#>  [43,]    0 0.2306286 0.4205330 0.5745749 0.6972664 0.7928068 0.8651147
#>  [44,]    0 0.2287911 0.4175565 0.5710180 0.6935639 0.7892840 0.8619993
#>  [45,]    0 0.2269115 0.4145068 0.5673669 0.6897549 0.7856496 0.8587736
#>  [46,]    0 0.2249916 0.4113865 0.5636237 0.6858406 0.7819040 0.8554368
#>  [47,]    0 0.2230331 0.4081979 0.5597908 0.6818226 0.7780475 0.8519883
#>  [48,]    0 0.2210380 0.4049435 0.5558704 0.6777024 0.7740807 0.8484275
#>  [49,]    0 0.2190081 0.4016259 0.5518649 0.6734818 0.7700044 0.8447540
#>  [50,]    0 0.2169452 0.3982478 0.5477769 0.6691625 0.7658194 0.8409674
#>  [51,]    0 0.2148514 0.3948117 0.5436089 0.6647466 0.7615265 0.8370675
#>  [52,]    0 0.2127284 0.3913203 0.5393634 0.6602359 0.7571269 0.8330544
#>  [53,]    0 0.2105782 0.3877763 0.5350433 0.6556327 0.7526218 0.8289281
#>  [54,]    0 0.2084027 0.3841825 0.5306513 0.6509392 0.7480125 0.8246887
#>  [55,]    0 0.2062038 0.3805416 0.5261901 0.6461576 0.7433003 0.8203367
#>  [56,]    0 0.2039833 0.3768564 0.5216627 0.6412904 0.7384870 0.8158726
#>  [57,]    0 0.2017431 0.3731295 0.5170720 0.6363402 0.7335743 0.8112971
#>  [58,]    0 0.1994850 0.3693638 0.5124209 0.6313094 0.7285639 0.8066110
#>  [59,]    0 0.1972109 0.3655621 0.5077125 0.6262009 0.7234579 0.8018152
#>  [60,]    0 0.1949226 0.3617271 0.5029497 0.6210174 0.7182583 0.7969110
#>  [61,]    0 0.1926218 0.3578615 0.4981357 0.6157616 0.7129673 0.7918996
#>  [62,]    0 0.1903103 0.3539682 0.4932735 0.6104366 0.7075874 0.7867824
#>  [63,]    0 0.1879898 0.3500497 0.4883662 0.6050452 0.7021208 0.7815612
#>  [64,]    0 0.1856621 0.3461089 0.4834169 0.5995906 0.6965703 0.7762375
#>  [65,]    0 0.1833286 0.3421483 0.4784287 0.5940758 0.6909383 0.7708133
#>  [66,]    0 0.1809911 0.3381706 0.4734048 0.5885039 0.6852277 0.7652907
#>  [67,]    0 0.1786510 0.3341783 0.4683483 0.5828782 0.6794413 0.7596718
#>  [68,]    0 0.1763100 0.3301740 0.4632621 0.5772017 0.6735821 0.7539591
#>  [69,]    0 0.1739694 0.3261602 0.4581495 0.5714777 0.6676530 0.7481548
#>  [70,]    0 0.1716308 0.3221393 0.4530133 0.5657095 0.6616571 0.7422616
#>  [71,]    0 0.1692955 0.3181138 0.4478568 0.5599003 0.6555975 0.7362822
#>  [72,]    0 0.1669648 0.3140859 0.4426827 0.5540534 0.6494775 0.7302193
#>  [73,]    0 0.1646400 0.3100579 0.4374942 0.5481720 0.6433002 0.7240760
#>  [74,]    0 0.1623224 0.3060321 0.4322940 0.5422594 0.6370690 0.7178552
#>  [75,]    0 0.1600131 0.3020105 0.4270850 0.5363188 0.6307873 0.7115600
#>  [76,]    0 0.1577132 0.2979954 0.4218700 0.5303536 0.6244583 0.7051935
#>  [77,]    0 0.1554240 0.2939887 0.4166517 0.5243667 0.6180854 0.6987591
#>  [78,]    0 0.1531463 0.2899923 0.4114329 0.5183616 0.6116720 0.6922601
#>  [79,]    0 0.1508812 0.2860081 0.4062161 0.5123412 0.6052216 0.6856998
#>  [80,]    0 0.1486296 0.2820381 0.4010040 0.5063086 0.5987375 0.6790818
#>  [81,]    0 0.1463925 0.2780838 0.3957989 0.5002670 0.5922231 0.6724093
#>  [82,]    0 0.1441706 0.2741470 0.3906034 0.4942193 0.5856818 0.6656860
#>  [83,]    0 0.1419647 0.2702293 0.3854197 0.4881685 0.5791169 0.6589155
#>  [84,]    0 0.1397756 0.2663322 0.3802501 0.4821175 0.5725318 0.6521012
#>  [85,]    0 0.1376040 0.2624572 0.3750969 0.4760690 0.5659299 0.6452467
#>  [86,]    0 0.1354505 0.2586056 0.3699621 0.4700260 0.5593142 0.6383556
#>  [87,]    0 0.1333157 0.2547788 0.3648478 0.4639910 0.5526882 0.6314315
#>  [88,]    0 0.1312003 0.2509781 0.3597559 0.4579667 0.5460549 0.6244779
#>  [89,]    0 0.1291046 0.2472045 0.3546884 0.4519556 0.5394175 0.6174983
#>  [90,]    0 0.1270293 0.2434593 0.3496470 0.4459603 0.5327791 0.6104963
#>  [91,]    0 0.1249747 0.2397435 0.3446336 0.4399832 0.5261426 0.6034754
#>  [92,]    0 0.1229413 0.2360581 0.3396496 0.4340265 0.5195111 0.5964389
#>  [93,]    0 0.1209293 0.2324039 0.3346968 0.4280925 0.5128873 0.5893904
#>  [94,]    0 0.1189392 0.2287818 0.3297766 0.4221834 0.5062741 0.5823331
#>  [95,]    0 0.1169713 0.2251927 0.3248904 0.4163013 0.4996743 0.5752703
#>  [96,]    0 0.1150257 0.2216372 0.3200395 0.4104482 0.4930904 0.5682054
#>  [97,]    0 0.1131028 0.2181161 0.3152253 0.4046260 0.4865252 0.5611414
#>  [98,]    0 0.1112027 0.2146300 0.3104489 0.3988366 0.4799810 0.5540815
#>  [99,]    0 0.1093255 0.2111793 0.3057114 0.3930816 0.4734602 0.5470287
#> [100,]    0 0.1074715 0.2077648 0.3010140 0.3873629 0.4669654 0.5399861
#>             [,8]      [,9]     [,10]     [,11]     [,12]
#>   [1,] 0.9546707 0.9821721 0.9958055 0.9987920 0.9998351
#>   [2,] 0.9547585 0.9821956 0.9957998 0.9987842 0.9998307
#>   [3,] 0.9550069 0.9822811 0.9958023 0.9987746 0.9998237
#>   [4,] 0.9553279 0.9823897 0.9958039 0.9987610 0.9998139
#>   [5,] 0.9556508 0.9824909 0.9957975 0.9987419 0.9998014
#>   [6,] 0.9559331 0.9825662 0.9957791 0.9987163 0.9997860
#>   [7,] 0.9561532 0.9826065 0.9957464 0.9986837 0.9997676
#>   [8,] 0.9563023 0.9826082 0.9956986 0.9986437 0.9997460
#>   [9,] 0.9563779 0.9825702 0.9956354 0.9985960 0.9997209
#>  [10,] 0.9563807 0.9824928 0.9955565 0.9985405 0.9996920
#>  [11,] 0.9563125 0.9823766 0.9954619 0.9984767 0.9996590
#>  [12,] 0.9561754 0.9822223 0.9953514 0.9984043 0.9996213
#>  [13,] 0.9559712 0.9820303 0.9952245 0.9983227 0.9995786
#>  [14,] 0.9557017 0.9818012 0.9950810 0.9982315 0.9995303
#>  [15,] 0.9553682 0.9815348 0.9949203 0.9981301 0.9994758
#>  [16,] 0.9549716 0.9812313 0.9947417 0.9980177 0.9994146
#>  [17,] 0.9545126 0.9808902 0.9945446 0.9978936 0.9993458
#>  [18,] 0.9539913 0.9805111 0.9943281 0.9977570 0.9992688
#>  [19,] 0.9534079 0.9800932 0.9940912 0.9976070 0.9991828
#>  [20,] 0.9527621 0.9796358 0.9938329 0.9974425 0.9990868
#>  [21,] 0.9520533 0.9791378 0.9935521 0.9972625 0.9989799
#>  [22,] 0.9512810 0.9785982 0.9932475 0.9970658 0.9988611
#>  [23,] 0.9504443 0.9780155 0.9929178 0.9968512 0.9987293
#>  [24,] 0.9495422 0.9773885 0.9925614 0.9966173 0.9985833
#>  [25,] 0.9485734 0.9767155 0.9921769 0.9963627 0.9984217
#>  [26,] 0.9475368 0.9759951 0.9917627 0.9960858 0.9982432
#>  [27,] 0.9464308 0.9752253 0.9913169 0.9957852 0.9980463
#>  [28,] 0.9452541 0.9744044 0.9908378 0.9954589 0.9978295
#>  [29,] 0.9440048 0.9735305 0.9903234 0.9951053 0.9975912
#>  [30,] 0.9426814 0.9726015 0.9897717 0.9947224 0.9973294
#>  [31,] 0.9412820 0.9716152 0.9891804 0.9943081 0.9970423
#>  [32,] 0.9398048 0.9705695 0.9885474 0.9938604 0.9967280
#>  [33,] 0.9382479 0.9694620 0.9878704 0.9933769 0.9963844
#>  [34,] 0.9366094 0.9682905 0.9871469 0.9928554 0.9960092
#>  [35,] 0.9348872 0.9670525 0.9863744 0.9922934 0.9956000
#>  [36,] 0.9330793 0.9657455 0.9855502 0.9916883 0.9951545
#>  [37,] 0.9311836 0.9643670 0.9846718 0.9910376 0.9946701
#>  [38,] 0.9291982 0.9629143 0.9837362 0.9903384 0.9941442
#>  [39,] 0.9271210 0.9613850 0.9827407 0.9895878 0.9935739
#>  [40,] 0.9249499 0.9597764 0.9816823 0.9887831 0.9929563
#>  [41,] 0.9226828 0.9580857 0.9805581 0.9879211 0.9922885
#>  [42,] 0.9203178 0.9563103 0.9793649 0.9869987 0.9915674
#>  [43,] 0.9178529 0.9544475 0.9780997 0.9860128 0.9907898
#>  [44,] 0.9152862 0.9524946 0.9767594 0.9849601 0.9899525
#>  [45,] 0.9126158 0.9504491 0.9753408 0.9838373 0.9890520
#>  [46,] 0.9098400 0.9483081 0.9738407 0.9826411 0.9880849
#>  [47,] 0.9069569 0.9460693 0.9722558 0.9813680 0.9870478
#>  [48,] 0.9039650 0.9437299 0.9705830 0.9800146 0.9859371
#>  [49,] 0.9008627 0.9412875 0.9688190 0.9785775 0.9847492
#>  [50,] 0.8976485 0.9387397 0.9669607 0.9770531 0.9834805
#>  [51,] 0.8943213 0.9360841 0.9650050 0.9754381 0.9821273
#>  [52,] 0.8908797 0.9333185 0.9629486 0.9737290 0.9806859
#>  [53,] 0.8873226 0.9304408 0.9607886 0.9719224 0.9791527
#>  [54,] 0.8836492 0.9274488 0.9585220 0.9700148 0.9775241
#>  [55,] 0.8798587 0.9243408 0.9561458 0.9680030 0.9757965
#>  [56,] 0.8759504 0.9211148 0.9536573 0.9658837 0.9739662
#>  [57,] 0.8719238 0.9177694 0.9510537 0.9636538 0.9720297
#>  [58,] 0.8677786 0.9143029 0.9483325 0.9613101 0.9699836
#>  [59,] 0.8635147 0.9107140 0.9454912 0.9588497 0.9678246
#>  [60,] 0.8591321 0.9070016 0.9425275 0.9562697 0.9655494
#>  [61,] 0.8546309 0.9031648 0.9394393 0.9535674 0.9631549
#>  [62,] 0.8500116 0.8992026 0.9362245 0.9507403 0.9606380
#>  [63,] 0.8452747 0.8951145 0.9328813 0.9477859 0.9579958
#>  [64,] 0.8404209 0.8909001 0.9294081 0.9447021 0.9552258
#>  [65,] 0.8354512 0.8865590 0.9258034 0.9414867 0.9523253
#>  [66,] 0.8303666 0.8820914 0.9220660 0.9381378 0.9492920
#>  [67,] 0.8251684 0.8774974 0.9181949 0.9346539 0.9461238
#>  [68,] 0.8198581 0.8727773 0.9141893 0.9310335 0.9428186
#>  [69,] 0.8144372 0.8679317 0.9100484 0.9272753 0.9393747
#>  [70,] 0.8089077 0.8629615 0.9057721 0.9233784 0.9357907
#>  [71,] 0.8032714 0.8578675 0.9013600 0.9193419 0.9320652
#>  [72,] 0.7975304 0.8526511 0.8968124 0.9151653 0.9281971
#>  [73,] 0.7916871 0.8473137 0.8921294 0.9108484 0.9241857
#>  [74,] 0.7857439 0.8418567 0.8873116 0.9063910 0.9200304
#>  [75,] 0.7797034 0.8362820 0.8823598 0.9017934 0.9157309
#>  [76,] 0.7735682 0.8305916 0.8772750 0.8970559 0.9112871
#>  [77,] 0.7673412 0.8247876 0.8720584 0.8921793 0.9066992
#>  [78,] 0.7610254 0.8188724 0.8667115 0.8871644 0.9019677
#>  [79,] 0.7546239 0.8128484 0.8612358 0.8820124 0.8970932
#>  [80,] 0.7481398 0.8067184 0.8556334 0.8767246 0.8920767
#>  [81,] 0.7415765 0.8004851 0.8499061 0.8713028 0.8869194
#>  [82,] 0.7349373 0.7941515 0.8440564 0.8657487 0.8816228
#>  [83,] 0.7282257 0.7877208 0.8380867 0.8600643 0.8761885
#>  [84,] 0.7214451 0.7811960 0.8319997 0.8542521 0.8706184
#>  [85,] 0.7145993 0.7745807 0.8257982 0.8483143 0.8649147
#>  [86,] 0.7076917 0.7678781 0.8194851 0.8422537 0.8590797
#>  [87,] 0.7007262 0.7610920 0.8130637 0.8360732 0.8531160
#>  [88,] 0.6937064 0.7542258 0.8065372 0.8297757 0.8470263
#>  [89,] 0.6866360 0.7472835 0.7999091 0.8233645 0.8408137
#>  [90,] 0.6795189 0.7402686 0.7931829 0.8168429 0.8344812
#>  [91,] 0.6723588 0.7331852 0.7863623 0.8102144 0.8280321
#>  [92,] 0.6651595 0.7260370 0.7794512 0.8034827 0.8214699
#>  [93,] 0.6579248 0.7188281 0.7724534 0.7966515 0.8147982
#>  [94,] 0.6506584 0.7115624 0.7653728 0.7897247 0.8080208
#>  [95,] 0.6433640 0.7042439 0.7582136 0.7827062 0.8011416
#>  [96,] 0.6360454 0.6968766 0.7509797 0.7756001 0.7941644
#>  [97,] 0.6287062 0.6894644 0.7436754 0.7684106 0.7870935
#>  [98,] 0.6213501 0.6820116 0.7363048 0.7611419 0.7799330
#>  [99,] 0.6139806 0.6745219 0.7288722 0.7537982 0.7726871
#> [100,] 0.6066013 0.6669994 0.7213818 0.7463839 0.7653602
#> 
#> $interventions_vec$LLINs_example$effects$avg_vc
#>  [1] 7.8497746 6.2546734 4.9159830 3.8058178 2.8979389 2.1675587 1.5911825
#>  [8] 1.1464882 0.8122515 0.5683211 0.4742232 0.4102290
#> 
#> $interventions_vec$LLINs_example$effects$avg_impact
#>  [1] 0.0000000 0.2032034 0.3737421 0.5151685 0.6308252 0.7238699 0.7972958
#>  [8] 0.8539464 0.8965255 0.9276003 0.9395877 0.9477400
#> 
#> 
#> $interventions_vec$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] 0.6133496
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$M.sd
#> [1] 0.003573648
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$Chi
#> [1] 0.8510504
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$A0
#> [1] 0.6281329
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$A0.sd
#> [1] 0.06781467
#> 
#> $interventions_vec$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] 0.7756787
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$endophily.sd
#> [1] 0.01193465
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$endophagy
#> [1] 0.560532
#> 
#> $interventions_vec$LLINs_example$model_p$vec_params$endophagy.sd
#> [1] 0.004865588
#> 
#> 
#> $interventions_vec$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] 0.6592188
#> 
#> $interventions_vec$LLINs_example$model_p$host_params$alphai
#> [1] 0.0019901083 0.0003483059
#> 
#> 
#> $interventions_vec$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,] 0.0014525866 0.001990108 0.0003483059
#>   [2,] 0.0014311998 0.001990108 0.0003483059
#>   [3,] 0.0014099487 0.001990108 0.0003483059
#>   [4,] 0.0013888429 0.001990108 0.0003483059
#>   [5,] 0.0013678922 0.001990108 0.0003483059
#>   [6,] 0.0013471064 0.001990108 0.0003483059
#>   [7,] 0.0013264952 0.001990108 0.0003483059
#>   [8,] 0.0013060683 0.001990108 0.0003483059
#>   [9,] 0.0012858355 0.001990108 0.0003483059
#>  [10,] 0.0012658065 0.001990108 0.0003483059
#>  [11,] 0.0012459911 0.001990108 0.0003483059
#>  [12,] 0.0012263991 0.001990108 0.0003483059
#>  [13,] 0.0012070401 0.001990108 0.0003483059
#>  [14,] 0.0011879240 0.001990108 0.0003483059
#>  [15,] 0.0011690604 0.001990108 0.0003483059
#>  [16,] 0.0011504591 0.001990108 0.0003483059
#>  [17,] 0.0011321299 0.001990108 0.0003483059
#>  [18,] 0.0011140825 0.001990108 0.0003483059
#>  [19,] 0.0010963267 0.001990108 0.0003483059
#>  [20,] 0.0010788721 0.001990108 0.0003483059
#>  [21,] 0.0010617286 0.001990108 0.0003483059
#>  [22,] 0.0010449059 0.001990108 0.0003483059
#>  [23,] 0.0010284138 0.001990108 0.0003483059
#>  [24,] 0.0010122619 0.001990108 0.0003483059
#>  [25,] 0.0009964601 0.001990108 0.0003483059
#>  [26,] 0.0009810180 0.001990108 0.0003483059
#>  [27,] 0.0009659455 0.001990108 0.0003483059
#>  [28,] 0.0009512522 0.001990108 0.0003483059
#>  [29,] 0.0009369480 0.001990108 0.0003483059
#>  [30,] 0.0009230425 0.001990108 0.0003483059
#>  [31,] 0.0009095455 0.001990108 0.0003483059
#>  [32,] 0.0008964668 0.001990108 0.0003483059
#>  [33,] 0.0008838161 0.001990108 0.0003483059
#>  [34,] 0.0008716031 0.001990108 0.0003483059
#>  [35,] 0.0008598377 0.001990108 0.0003483059
#>  [36,] 0.0008485295 0.001990108 0.0003483059
#>  [37,] 0.0008376882 0.001990108 0.0003483059
#>  [38,] 0.0008273237 0.001990108 0.0003483059
#>  [39,] 0.0008174457 0.001990108 0.0003483059
#>  [40,] 0.0008080640 0.001990108 0.0003483059
#>  [41,] 0.0007991882 0.001990108 0.0003483059
#>  [42,] 0.0007908281 0.001990108 0.0003483059
#>  [43,] 0.0007829935 0.001990108 0.0003483059
#>  [44,] 0.0007756941 0.001990108 0.0003483059
#>  [45,] 0.0007689397 0.001990108 0.0003483059
#>  [46,] 0.0007627399 0.001990108 0.0003483059
#>  [47,] 0.0007571047 0.001990108 0.0003483059
#>  [48,] 0.0007520436 0.001990108 0.0003483059
#>  [49,] 0.0007475665 0.001990108 0.0003483059
#>  [50,] 0.0007436831 0.001990108 0.0003483059
#>  [51,] 0.0007404031 0.001990108 0.0003483059
#>  [52,] 0.0007377363 0.001990108 0.0003483059
#>  [53,] 0.0007356924 0.001990108 0.0003483059
#>  [54,] 0.0007342812 0.001990108 0.0003483059
#>  [55,] 0.0007335125 0.001990108 0.0003483059
#>  [56,] 0.0007333959 0.001990108 0.0003483059
#>  [57,] 0.0007339412 0.001990108 0.0003483059
#>  [58,] 0.0007351582 0.001990108 0.0003483059
#>  [59,] 0.0007370566 0.001990108 0.0003483059
#>  [60,] 0.0007396462 0.001990108 0.0003483059
#>  [61,] 0.0007429367 0.001990108 0.0003483059
#>  [62,] 0.0007469378 0.001990108 0.0003483059
#>  [63,] 0.0007516593 0.001990108 0.0003483059
#>  [64,] 0.0007571110 0.001990108 0.0003483059
#>  [65,] 0.0007633025 0.001990108 0.0003483059
#>  [66,] 0.0007702437 0.001990108 0.0003483059
#>  [67,] 0.0007779443 0.001990108 0.0003483059
#>  [68,] 0.0007864140 0.001990108 0.0003483059
#>  [69,] 0.0007956626 0.001990108 0.0003483059
#>  [70,] 0.0008056998 0.001990108 0.0003483059
#>  [71,] 0.0008165354 0.001990108 0.0003483059
#>  [72,] 0.0008281791 0.001990108 0.0003483059
#>  [73,] 0.0008406406 0.001990108 0.0003483059
#>  [74,] 0.0008539298 0.001990108 0.0003483059
#>  [75,] 0.0008680563 0.001990108 0.0003483059
#>  [76,] 0.0008830299 0.001990108 0.0003483059
#>  [77,] 0.0008988604 0.001990108 0.0003483059
#>  [78,] 0.0009155575 0.001990108 0.0003483059
#>  [79,] 0.0009331309 0.001990108 0.0003483059
#>  [80,] 0.0009515904 0.001990108 0.0003483059
#>  [81,] 0.0009709457 0.001990108 0.0003483059
#>  [82,] 0.0009912066 0.001990108 0.0003483059
#>  [83,] 0.0010123828 0.001990108 0.0003483059
#>  [84,] 0.0010344841 0.001990108 0.0003483059
#>  [85,] 0.0010575202 0.001990108 0.0003483059
#>  [86,] 0.0010815009 0.001990108 0.0003483059
#>  [87,] 0.0011064359 0.001990108 0.0003483059
#>  [88,] 0.0011323350 0.001990108 0.0003483059
#>  [89,] 0.0011592079 0.001990108 0.0003483059
#>  [90,] 0.0011870643 0.001990108 0.0003483059
#>  [91,] 0.0012159140 0.001990108 0.0003483059
#>  [92,] 0.0012457668 0.001990108 0.0003483059
#>  [93,] 0.0012766323 0.001990108 0.0003483059
#>  [94,] 0.0013085204 0.001990108 0.0003483059
#>  [95,] 0.0013414408 0.001990108 0.0003483059
#>  [96,] 0.0013754032 0.001990108 0.0003483059
#>  [97,] 0.0014104174 0.001990108 0.0003483059
#>  [98,] 0.0014464931 0.001990108 0.0003483059
#>  [99,] 0.0014836400 0.001990108 0.0003483059
#> [100,] 0.0015218680 0.001990108 0.0003483059
#> 
#> $interventions_vec$IRS_example$effects$PBi
#>             [,1] [,2] [,3]
#>   [1,] 0.8627796 0.95 0.95
#>   [2,] 0.8595536 0.95 0.95
#>   [3,] 0.8565269 0.95 0.95
#>   [4,] 0.8536959 0.95 0.95
#>   [5,] 0.8510570 0.95 0.95
#>   [6,] 0.8486067 0.95 0.95
#>   [7,] 0.8463414 0.95 0.95
#>   [8,] 0.8442576 0.95 0.95
#>   [9,] 0.8423516 0.95 0.95
#>  [10,] 0.8406200 0.95 0.95
#>  [11,] 0.8390592 0.95 0.95
#>  [12,] 0.8376656 0.95 0.95
#>  [13,] 0.8364356 0.95 0.95
#>  [14,] 0.8353657 0.95 0.95
#>  [15,] 0.8344523 0.95 0.95
#>  [16,] 0.8336919 0.95 0.95
#>  [17,] 0.8330809 0.95 0.95
#>  [18,] 0.8326157 0.95 0.95
#>  [19,] 0.8322928 0.95 0.95
#>  [20,] 0.8321086 0.95 0.95
#>  [21,] 0.8320595 0.95 0.95
#>  [22,] 0.8321421 0.95 0.95
#>  [23,] 0.8323527 0.95 0.95
#>  [24,] 0.8326877 0.95 0.95
#>  [25,] 0.8331436 0.95 0.95
#>  [26,] 0.8337169 0.95 0.95
#>  [27,] 0.8344040 0.95 0.95
#>  [28,] 0.8352013 0.95 0.95
#>  [29,] 0.8361052 0.95 0.95
#>  [30,] 0.8371122 0.95 0.95
#>  [31,] 0.8382188 0.95 0.95
#>  [32,] 0.8394213 0.95 0.95
#>  [33,] 0.8407162 0.95 0.95
#>  [34,] 0.8421000 0.95 0.95
#>  [35,] 0.8435691 0.95 0.95
#>  [36,] 0.8451199 0.95 0.95
#>  [37,] 0.8467488 0.95 0.95
#>  [38,] 0.8484523 0.95 0.95
#>  [39,] 0.8502269 0.95 0.95
#>  [40,] 0.8520690 0.95 0.95
#>  [41,] 0.8539749 0.95 0.95
#>  [42,] 0.8559413 0.95 0.95
#>  [43,] 0.8579644 0.95 0.95
#>  [44,] 0.8600407 0.95 0.95
#>  [45,] 0.8621667 0.95 0.95
#>  [46,] 0.8643388 0.95 0.95
#>  [47,] 0.8665534 0.95 0.95
#>  [48,] 0.8688070 0.95 0.95
#>  [49,] 0.8710961 0.95 0.95
#>  [50,] 0.8734170 0.95 0.95
#>  [51,] 0.8757662 0.95 0.95
#>  [52,] 0.8781401 0.95 0.95
#>  [53,] 0.8805352 0.95 0.95
#>  [54,] 0.8829478 0.95 0.95
#>  [55,] 0.8853746 0.95 0.95
#>  [56,] 0.8878118 0.95 0.95
#>  [57,] 0.8902559 0.95 0.95
#>  [58,] 0.8927035 0.95 0.95
#>  [59,] 0.8951508 0.95 0.95
#>  [60,] 0.8975943 0.95 0.95
#>  [61,] 0.9000305 0.95 0.95
#>  [62,] 0.9024558 0.95 0.95
#>  [63,] 0.9048667 0.95 0.95
#>  [64,] 0.9072595 0.95 0.95
#>  [65,] 0.9096308 0.95 0.95
#>  [66,] 0.9119770 0.95 0.95
#>  [67,] 0.9142944 0.95 0.95
#>  [68,] 0.9165796 0.95 0.95
#>  [69,] 0.9188290 0.95 0.95
#>  [70,] 0.9210390 0.95 0.95
#>  [71,] 0.9232060 0.95 0.95
#>  [72,] 0.9253266 0.95 0.95
#>  [73,] 0.9273970 0.95 0.95
#>  [74,] 0.9294139 0.95 0.95
#>  [75,] 0.9313735 0.95 0.95
#>  [76,] 0.9332724 0.95 0.95
#>  [77,] 0.9351070 0.95 0.95
#>  [78,] 0.9368737 0.95 0.95
#>  [79,] 0.9385689 0.95 0.95
#>  [80,] 0.9401892 0.95 0.95
#>  [81,] 0.9417309 0.95 0.95
#>  [82,] 0.9431904 0.95 0.95
#>  [83,] 0.9445643 0.95 0.95
#>  [84,] 0.9458489 0.95 0.95
#>  [85,] 0.9470407 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,] 0.9520431 0.95 0.95
#>  [92,] 0.9524855 0.95 0.95
#>  [93,] 0.9528065 0.95 0.95
#>  [94,] 0.9530028 0.95 0.95
#>  [95,] 0.9530705 0.95 0.95
#>  [96,] 0.9530063 0.95 0.95
#>  [97,] 0.9528066 0.95 0.95
#>  [98,] 0.9524677 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,] 0.2276918 0.95 0.95
#>   [2,] 0.2261297 0.95 0.95
#>   [3,] 0.2249736 0.95 0.95
#>   [4,] 0.2242162 0.95 0.95
#>   [5,] 0.2238501 0.95 0.95
#>   [6,] 0.2238680 0.95 0.95
#>   [7,] 0.2242625 0.95 0.95
#>   [8,] 0.2250263 0.95 0.95
#>   [9,] 0.2261520 0.95 0.95
#>  [10,] 0.2276323 0.95 0.95
#>  [11,] 0.2294599 0.95 0.95
#>  [12,] 0.2316273 0.95 0.95
#>  [13,] 0.2341273 0.95 0.95
#>  [14,] 0.2369524 0.95 0.95
#>  [15,] 0.2400955 0.95 0.95
#>  [16,] 0.2435490 0.95 0.95
#>  [17,] 0.2473057 0.95 0.95
#>  [18,] 0.2513582 0.95 0.95
#>  [19,] 0.2556991 0.95 0.95
#>  [20,] 0.2603212 0.95 0.95
#>  [21,] 0.2652170 0.95 0.95
#>  [22,] 0.2703792 0.95 0.95
#>  [23,] 0.2758006 0.95 0.95
#>  [24,] 0.2814736 0.95 0.95
#>  [25,] 0.2873910 0.95 0.95
#>  [26,] 0.2935455 0.95 0.95
#>  [27,] 0.2999297 0.95 0.95
#>  [28,] 0.3065361 0.95 0.95
#>  [29,] 0.3133576 0.95 0.95
#>  [30,] 0.3203867 0.95 0.95
#>  [31,] 0.3276161 0.95 0.95
#>  [32,] 0.3350385 0.95 0.95
#>  [33,] 0.3426465 0.95 0.95
#>  [34,] 0.3504327 0.95 0.95
#>  [35,] 0.3583898 0.95 0.95
#>  [36,] 0.3665105 0.95 0.95
#>  [37,] 0.3747874 0.95 0.95
#>  [38,] 0.3832132 0.95 0.95
#>  [39,] 0.3917805 0.95 0.95
#>  [40,] 0.4004820 0.95 0.95
#>  [41,] 0.4093103 0.95 0.95
#>  [42,] 0.4182581 0.95 0.95
#>  [43,] 0.4273180 0.95 0.95
#>  [44,] 0.4364827 0.95 0.95
#>  [45,] 0.4457448 0.95 0.95
#>  [46,] 0.4550971 0.95 0.95
#>  [47,] 0.4645320 0.95 0.95
#>  [48,] 0.4740424 0.95 0.95
#>  [49,] 0.4836208 0.95 0.95
#>  [50,] 0.4932600 0.95 0.95
#>  [51,] 0.5029524 0.95 0.95
#>  [52,] 0.5126909 0.95 0.95
#>  [53,] 0.5224681 0.95 0.95
#>  [54,] 0.5322766 0.95 0.95
#>  [55,] 0.5421090 0.95 0.95
#>  [56,] 0.5519581 0.95 0.95
#>  [57,] 0.5618164 0.95 0.95
#>  [58,] 0.5716767 0.95 0.95
#>  [59,] 0.5815315 0.95 0.95
#>  [60,] 0.5913736 0.95 0.95
#>  [61,] 0.6011956 0.95 0.95
#>  [62,] 0.6109901 0.95 0.95
#>  [63,] 0.6207498 0.95 0.95
#>  [64,] 0.6304673 0.95 0.95
#>  [65,] 0.6401354 0.95 0.95
#>  [66,] 0.6497466 0.95 0.95
#>  [67,] 0.6592936 0.95 0.95
#>  [68,] 0.6687690 0.95 0.95
#>  [69,] 0.6781656 0.95 0.95
#>  [70,] 0.6874759 0.95 0.95
#>  [71,] 0.6966927 0.95 0.95
#>  [72,] 0.7058085 0.95 0.95
#>  [73,] 0.7148160 0.95 0.95
#>  [74,] 0.7237079 0.95 0.95
#>  [75,] 0.7324769 0.95 0.95
#>  [76,] 0.7411155 0.95 0.95
#>  [77,] 0.7496165 0.95 0.95
#>  [78,] 0.7579724 0.95 0.95
#>  [79,] 0.7661760 0.95 0.95
#>  [80,] 0.7742199 0.95 0.95
#>  [81,] 0.7820967 0.95 0.95
#>  [82,] 0.7897992 0.95 0.95
#>  [83,] 0.7973198 0.95 0.95
#>  [84,] 0.8046514 0.95 0.95
#>  [85,] 0.8117866 0.95 0.95
#>  [86,] 0.8187179 0.95 0.95
#>  [87,] 0.8254382 0.95 0.95
#>  [88,] 0.8319399 0.95 0.95
#>  [89,] 0.8382158 0.95 0.95
#>  [90,] 0.8442585 0.95 0.95
#>  [91,] 0.8500608 0.95 0.95
#>  [92,] 0.8556151 0.95 0.95
#>  [93,] 0.8609142 0.95 0.95
#>  [94,] 0.8659508 0.95 0.95
#>  [95,] 0.8707174 0.95 0.95
#>  [96,] 0.8752068 0.95 0.95
#>  [97,] 0.8794116 0.95 0.95
#>  [98,] 0.8833244 0.95 0.95
#>  [99,] 0.8869380 0.95 0.95
#> [100,] 0.8902448 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 
#> 0.2700967 0.2808432 0.2915216 0.3021270 0.3126544 0.3230989 0.3334558 0.3437200 
#>         9        10        11        12        13        14        15        16 
#> 0.3538867 0.3639509 0.3739079 0.3837526 0.3934802 0.4030857 0.4125644 0.4219113 
#>        17        18        19        20        21        22        23        24 
#> 0.4311214 0.4401900 0.4491120 0.4578827 0.4664970 0.4749502 0.4832373 0.4913533 
#>        25        26        27        28        29        30        31        32 
#> 0.4992935 0.5070529 0.5146267 0.5220098 0.5291975 0.5361848 0.5429668 0.5495387 
#>        33        34        35        36        37        38        39        40 
#> 0.5558955 0.5620323 0.5679443 0.5736265 0.5790740 0.5842820 0.5892456 0.5939598 
#>        41        42        43        44        45        46        47        48 
#> 0.5984198 0.6026206 0.6065573 0.6102252 0.6136192 0.6167345 0.6195661 0.6221092 
#>        49        50        51        52        53        54        55        56 
#> 0.6243589 0.6263103 0.6279584 0.6292984 0.6303254 0.6310345 0.6314208 0.6314794 
#>        57        58        59        60        61        62        63        64 
#> 0.6312054 0.6305939 0.6296399 0.6283387 0.6266853 0.6246748 0.6223023 0.6195629 
#>        65        66        67        68        69        70        71        72 
#> 0.6164518 0.6129639 0.6090945 0.6048386 0.6001913 0.5951477 0.5897030 0.5838522 
#>        73        74        75        76        77        78        79        80 
#> 0.5775905 0.5709129 0.5638145 0.5562905 0.5483359 0.5399459 0.5311155 0.5218399 
#>        81        82        83        84        85        86        87        88 
#> 0.5121141 0.5019333 0.4912926 0.4801870 0.4686117 0.4565618 0.4440323 0.4310184 
#>        89        90        91        92        93        94        95        96 
#> 0.4175152 0.4035177 0.3890212 0.3740206 0.3585111 0.3424878 0.3259458 0.3088802 
#>        97        98        99       100 
#> 0.2912861 0.2731586 0.2544928 0.2352838 
#> 
#> $interventions_vec$IRS_example$effects$PBi_decay
#>             1             2             3             4             5 
#>  9.181090e-02  9.520668e-02  9.839272e-02  1.013727e-01  1.041505e-01 
#>             6             7             8             9            10 
#>  1.067298e-01  1.091143e-01  1.113078e-01  1.133141e-01  1.151368e-01 
#>            11            12            13            14            15 
#>  1.167798e-01  1.182468e-01  1.195415e-01  1.206677e-01  1.216291e-01 
#>            16            17            18            19            20 
#>  1.224296e-01  1.230728e-01  1.235624e-01  1.239023e-01  1.240962e-01 
#>            21            22            23            24            25 
#>  1.241478e-01  1.240610e-01  1.238393e-01  1.234866e-01  1.230067e-01 
#>            26            27            28            29            30 
#>  1.224032e-01  1.216800e-01  1.208408e-01  1.198893e-01  1.188293e-01 
#>            31            32            33            34            35 
#>  1.176645e-01  1.163986e-01  1.150356e-01  1.135789e-01  1.120326e-01 
#>            36            37            38            39            40 
#>  1.104002e-01  1.086855e-01  1.068923e-01  1.050243e-01  1.030853e-01 
#>            41            42            43            44            45 
#>  1.010790e-01  9.900920e-02  9.687962e-02  9.469400e-02  9.245611e-02 
#>            46            47            48            49            50 
#>  9.016969e-02  8.783849e-02  8.546626e-02  8.305675e-02  8.061371e-02 
#>            51            52            53            54            55 
#>  7.814089e-02  7.564203e-02  7.312089e-02  7.058121e-02  6.802675e-02 
#>            56            57            58            59            60 
#>  6.546126e-02  6.288848e-02  6.031216e-02  5.773605e-02  5.516391e-02 
#>            61            62            63            64            65 
#>  5.259948e-02  5.004651e-02  4.750875e-02  4.498995e-02  4.249386e-02 
#>            66            67            68            69            70 
#>  4.002423e-02  3.758480e-02  3.517933e-02  3.281157e-02  3.048527e-02 
#>            71            72            73            74            75 
#>  2.820417e-02  2.597203e-02  2.379259e-02  2.166960e-02  1.960682e-02 
#>            76            77            78            79            80 
#>  1.760799e-02  1.567686e-02  1.381718e-02  1.203271e-02  1.032718e-02 
#>            81            82            83            84            85 
#>  8.704353e-03  7.167974e-03  5.721793e-03  4.369560e-03  3.115024e-03 
#>            86            87            88            89            90 
#>  1.961934e-03  9.140397e-04 -2.490944e-05 -8.511642e-04 -1.560975e-03 
#>            91            92            93            94            95 
#> -2.150593e-03 -2.616268e-03 -2.954251e-03 -3.160793e-03 -3.232143e-03 
#>            96            97            98            99           100 
#> -3.164554e-03 -2.954275e-03 -2.597558e-03 -2.090652e-03 -1.429808e-03 
#> 
#> $interventions_vec$IRS_example$effects$PCi_decay
#>          1          2          3          4          5          6          7 
#> 0.76032447 0.76196877 0.76318568 0.76398295 0.76436831 0.76434948 0.76393420 
#>          8          9         10         11         12         13         14 
#> 0.76313021 0.76194524 0.76038703 0.75846330 0.75618179 0.75355024 0.75057637 
#>         15         16         17         18         19         20         21 
#> 0.74726793 0.74363264 0.73967824 0.73541246 0.73084305 0.72597772 0.72082421 
#>         22         23         24         25         26         27         28 
#> 0.71539026 0.70968361 0.70371198 0.69748311 0.69100473 0.68428458 0.67733038 
#>         29         30         31         32         33         34         35 
#> 0.67014988 0.66275081 0.65514090 0.64732788 0.63931950 0.63112347 0.62274754 
#>         36         37         38         39         40         41         42 
#> 0.61419944 0.60548690 0.59661766 0.58759945 0.57844001 0.56914706 0.55972834 
#>         43         44         45         46         47         48         49 
#> 0.55019159 0.54054454 0.53079492 0.52095047 0.51101892 0.50100800 0.49092545 
#>         50         51         52         53         54         55         56 
#> 0.48077900 0.47057638 0.46032534 0.45003359 0.43970888 0.42935895 0.41899151 
#>         57         58         59         60         61         62         63 
#> 0.40861431 0.39823509 0.38786156 0.37750148 0.36716256 0.35685256 0.34657919 
#>         64         65         66         67         68         69         70 
#> 0.33635019 0.32617330 0.31605626 0.30600678 0.29603262 0.28614149 0.27634114 
#>         71         72         73         74         75         76         77 
#> 0.26663930 0.25704370 0.24756208 0.23820216 0.22897169 0.21987840 0.21093002 
#>         78         79         80         81         82         83         84 
#> 0.20213428 0.19349893 0.18503168 0.17674028 0.16863246 0.16071595 0.15299849 
#>         85         86         87         88         89         90         91 
#> 0.14548781 0.13819164 0.13111772 0.12427378 0.11766756 0.11130679 0.10519920 
#>         92         93         94         95         96         97         98 
#> 0.09935253 0.09377450 0.08847286 0.08345534 0.07872967 0.07430358 0.07018481 
#>         99        100 
#> 0.06638110 0.06290017 
#> 
#> $interventions_vec$IRS_example$effects$vc
#>            [,1]     [,2]     [,3]     [,4]     [,5]     [,6]      [,7]
#>   [1,] 7.849775 5.479716 3.786084 2.578403 1.722147 1.120963 0.7050245
#>   [2,] 7.849775 5.489343 3.797590 2.588313 1.729272 1.125275 0.7070213
#>   [3,] 7.849775 5.500120 3.810752 2.599982 1.738027 1.130974 0.7101246
#>   [4,] 7.849775 5.511974 3.825475 2.613319 1.748335 1.137999 0.7142852
#>   [5,] 7.849775 5.524832 3.841671 2.628240 1.760127 1.146294 0.7194592
#>   [6,] 7.849775 5.538626 3.859253 2.644666 1.773335 1.155806 0.7256071
#>   [7,] 7.849775 5.553290 3.878139 2.662520 1.787897 1.166487 0.7326933
#>   [8,] 7.849775 5.568760 3.898251 2.681730 1.803755 1.178294 0.7406857
#>   [9,] 7.849775 5.584976 3.919512 2.702227 1.820852 1.191185 0.7495548
#>  [10,] 7.849775 5.601879 3.941851 2.723945 1.839137 1.205122 0.7592738
#>  [11,] 7.849775 5.619412 3.965197 2.746818 1.858558 1.220066 0.7698176
#>  [12,] 7.849775 5.637521 3.989481 2.770785 1.879066 1.235984 0.7811631
#>  [13,] 7.849775 5.656154 4.014638 2.795785 1.900614 1.252842 0.7932885
#>  [14,] 7.849775 5.675260 4.040603 2.821759 1.923156 1.270608 0.8061729
#>  [15,] 7.849775 5.694791 4.067314 2.848650 1.946645 1.289249 0.8197966
#>  [16,] 7.849775 5.714700 4.094711 2.876402 1.971039 1.308736 0.8341404
#>  [17,] 7.849775 5.734941 4.122734 2.904959 1.996294 1.329037 0.8491857
#>  [18,] 7.849775 5.755471 4.151326 2.934266 2.022365 1.350123 0.8649139
#>  [19,] 7.849775 5.776247 4.180430 2.964271 2.049211 1.371964 0.8813071
#>  [20,] 7.849775 5.797231 4.209994 2.994922 2.076790 1.394530 0.8983471
#>  [21,] 7.849775 5.818381 4.239962 3.026166 2.105059 1.417792 0.9160159
#>  [22,] 7.849775 5.839663 4.270284 3.057952 2.133977 1.441720 0.9342953
#>  [23,] 7.849775 5.861039 4.300910 3.090232 2.163502 1.466284 0.9531672
#>  [24,] 7.849775 5.882475 4.331791 3.122955 2.193593 1.491455 0.9726131
#>  [25,] 7.849775 5.903940 4.362879 3.156074 2.224210 1.517203 0.9926146
#>  [26,] 7.849775 5.925401 4.394130 3.189542 2.255312 1.543498 1.0131532
#>  [27,] 7.849775 5.946831 4.425499 3.223313 2.286860 1.570310 1.0342102
#>  [28,] 7.849775 5.968200 4.456945 3.257341 2.318814 1.597611 1.0557671
#>  [29,] 7.849775 5.989483 4.488426 3.291585 2.351136 1.625371 1.0778053
#>  [30,] 7.849775 6.010655 4.519905 3.326002 2.383789 1.653562 1.1003066
#>  [31,] 7.849775 6.031694 4.551346 3.360551 2.416736 1.682156 1.1232531
#>  [32,] 7.849775 6.052578 4.582713 3.395195 2.449942 1.711125 1.1466274
#>  [33,] 7.849775 6.073288 4.613975 3.429897 2.483373 1.740444 1.1704126
#>  [34,] 7.849775 6.093806 4.645103 3.464623 2.516998 1.770086 1.1945929
#>  [35,] 7.849775 6.114118 4.676069 3.499341 2.550786 1.800030 1.2191532
#>  [36,] 7.849775 6.134208 4.706847 3.534021 2.584710 1.830252 1.2440800
#>  [37,] 7.849775 6.154064 4.737417 3.568636 2.618743 1.860732 1.2693609
#>  [38,] 7.849775 6.173677 4.767758 3.603162 2.652861 1.891452 1.2949855
#>  [39,] 7.849775 6.193038 4.797854 3.637579 2.687046 1.922397 1.3209452
#>  [40,] 7.849775 6.212141 4.827690 3.671867 2.721278 1.953553 1.3472336
#>  [41,] 7.849775 6.230980 4.857256 3.706014 2.755544 1.984909 1.3738466
#>  [42,] 7.849775 6.249555 4.886545 3.740006 2.789832 2.016458 1.4007829
#>  [43,] 7.849775 6.267863 4.915551 3.773837 2.824135 2.048197 1.4280443
#>  [44,] 7.849775 6.285906 4.944274 3.807503 2.858450 2.080124 1.4556354
#>  [45,] 7.849775 6.303688 4.972714 3.841004 2.892776 2.112243 1.4835645
#>  [46,] 7.849775 6.321213 5.000876 3.874344 2.927118 2.144561 1.5118434
#>  [47,] 7.849775 6.338489 5.028770 3.907530 2.961485 2.177089 1.5404879
#>  [48,] 7.849775 6.355524 5.056405 3.940575 2.995889 2.209844 1.5695178
#>  [49,] 7.849775 6.372330 5.083797 3.973493 3.030349 2.242844 1.5989572
#>  [50,] 7.849775 6.388919 5.110964 4.006307 3.064885 2.276116 1.6288346
#>  [51,] 7.849775 6.405305 5.137927 4.039039 3.099525 2.309688 1.6591834
#>  [52,] 7.849775 6.421504 5.164710 4.071719 3.134301 2.343594 1.6900414
#>  [53,] 7.849775 6.437535 5.191339 4.104378 3.169247 2.377875 1.7214515
#>  [54,] 7.849775 6.453416 5.217846 4.137054 3.204405 2.412574 1.7534617
#>  [55,] 7.849775 6.469168 5.244264 4.169785 3.239820 2.447741 1.7861250
#>  [56,] 7.849775 6.484814 5.270628 4.202617 3.275541 2.483429 1.8194996
#>  [57,] 7.849775 6.500378 5.296976 4.235598 3.311623 2.519698 1.8536488
#>  [58,] 7.849775 6.515883 5.323349 4.268777 3.348124 2.556612 1.8886415
#>  [59,] 7.849775 6.531356 5.349791 4.302211 3.385106 2.594238 1.9245514
#>  [60,] 7.849775 6.546824 5.376347 4.335957 3.422636 2.632652 1.9614576
#>  [61,] 7.849775 6.562315 5.403064 4.370075 3.460785 2.671930 1.9994445
#>  [62,] 7.849775 6.577858 5.429991 4.404628 3.499626 2.712155 2.0386015
#>  [63,] 7.849775 6.593481 5.457177 4.439683 3.539237 2.753413 2.0790228
#>  [64,] 7.849775 6.609214 5.484675 4.475306 3.579696 2.795795 2.1208077
#>  [65,] 7.849775 6.625088 5.512537 4.511567 3.621088 2.839394 2.1640601
#>  [66,] 7.849775 6.641132 5.540816 4.548536 3.663498 2.884308 2.2088882
#>  [67,] 7.849775 6.657377 5.569564 4.586287 3.707011 2.930636 2.2554046
#>  [68,] 7.849775 6.673852 5.598836 4.624890 3.751717 2.978483 2.3037257
#>  [69,] 7.849775 6.690586 5.628684 4.664418 3.797705 3.027952 2.3539714
#>  [70,] 7.849775 6.707609 5.659161 4.704944 3.845065 3.079151 2.4062648
#>  [71,] 7.849775 6.724948 5.690317 4.746538 3.893887 3.132187 2.4607315
#>  [72,] 7.849775 6.742629 5.722202 4.789272 3.944261 3.187168 2.5174991
#>  [73,] 7.849775 6.760679 5.754865 4.833213 3.996273 3.244203 2.5766966
#>  [74,] 7.849775 6.779120 5.788349 4.878426 4.050010 3.303397 2.6384536
#>  [75,] 7.849775 6.797976 5.822699 4.924974 4.105555 3.364857 2.7028991
#>  [76,] 7.849775 6.817266 5.857952 4.972916 4.162987 3.428684 2.7701607
#>  [77,] 7.849775 6.837008 5.894144 5.022305 4.222381 3.494976 2.8403634
#>  [78,] 7.849775 6.857216 5.931306 5.073190 4.283804 3.563826 2.9136280
#>  [79,] 7.849775 6.877902 5.969462 5.125613 4.347320 3.635320 2.9900696
#>  [80,] 7.849775 6.899076 6.008634 5.179608 4.412982 3.709535 3.0697959
#>  [81,] 7.849775 6.920742 6.048835 5.235201 4.480833 3.786540 3.1529047
#>  [82,] 7.849775 6.942901 6.090070 5.292409 4.550907 3.866390 3.2394823
#>  [83,] 7.849775 6.965550 6.132340 5.351239 4.623225 3.949127 3.3296002
#>  [84,] 7.849775 6.988682 6.175633 5.411685 4.697791 4.034777 3.4233125
#>  [85,] 7.849775 7.012284 6.219931 5.473728 4.774597 4.123346 3.5206530
#>  [86,] 7.849775 7.036338 6.265205 5.537335 4.853612 4.214821 3.6216312
#>  [87,] 7.849775 7.060820 6.311413 5.602457 4.934789 4.309162 3.7262286
#>  [88,] 7.849775 7.085701 6.358504 5.669028 5.018056 4.406302 3.8343949
#>  [89,] 7.849775 7.110943 6.406412 5.736960 5.103315 4.506144 3.9460434
#>  [90,] 7.849775 7.136503 6.455058 5.806149 5.190443 4.608557 4.0610463
#>  [91,] 7.849775 7.162332 6.504349 5.876464 5.279284 4.713369 4.1792296
#>  [92,] 7.849775 7.188370 6.554174 5.947755 5.369652 4.820370 4.3003687
#>  [93,] 7.849775 7.214552 6.604408 6.019840 5.461324 4.929302 4.4241826
#>  [94,] 7.849775 7.240802 6.654906 6.092516 5.554039 5.039859 4.5503291
#>  [95,] 7.849775 7.267036 6.705507 6.165546 5.647498 5.151683 4.6784001
#>  [96,] 7.849775 7.293163 6.756028 6.238666 5.741355 5.264357 4.8079162
#>  [97,] 7.849775 7.319078 6.806268 6.311577 5.835222 5.377408 4.9383234
#>  [98,] 7.849775 7.344670 6.856005 6.383950 5.928665 5.490300 5.0689888
#>  [99,] 7.849775 7.369816 6.904993 6.455419 6.021199 5.602431 5.1991983
#> [100,] 7.849775 7.394384 6.952967 6.525585 6.112293 5.713137 5.3281552
#>             [,8]      [,9]     [,10]      [,11]      [,12]
#>   [1,] 0.4232321 0.2379020 0.1210859 0.08164593 0.05722400
#>   [2,] 0.4235867 0.2372721 0.1200210 0.08052444 0.05611708
#>   [3,] 0.4247729 0.2372305 0.1193442 0.07970833 0.05525742
#>   [4,] 0.4267520 0.2377471 0.1190324 0.07917726 0.05462691
#>   [5,] 0.4294903 0.2387958 0.1190655 0.07891402 0.05421028
#>   [6,] 0.4329579 0.2403543 0.1194269 0.07890413 0.05399472
#>   [7,] 0.4371287 0.2424033 0.1201024 0.07913544 0.05396955
#>   [8,] 0.4419797 0.2449263 0.1210800 0.07959783 0.05412590
#>   [9,] 0.4474905 0.2479091 0.1223498 0.08028294 0.05445650
#>  [10,] 0.4536428 0.2513395 0.1239035 0.08118392 0.05495546
#>  [11,] 0.4604204 0.2552072 0.1257344 0.08229525 0.05561809
#>  [12,] 0.4678088 0.2595031 0.1278369 0.08361255 0.05644072
#>  [13,] 0.4757945 0.2642196 0.1302066 0.08513245 0.05742059
#>  [14,] 0.4843656 0.2693500 0.1328400 0.08685242 0.05855575
#>  [15,] 0.4935107 0.2748886 0.1357345 0.08877070 0.05984492
#>  [16,] 0.5032192 0.2808303 0.1388882 0.09088617 0.06128741
#>  [17,] 0.5134812 0.2871709 0.1422995 0.09319826 0.06288310
#>  [18,] 0.5242871 0.2939063 0.1459678 0.09570690 0.06463229
#>  [19,] 0.5356277 0.3010330 0.1498925 0.09841245 0.06653572
#>  [20,] 0.5474937 0.3085477 0.1540735 0.10131564 0.06859448
#>  [21,] 0.5598761 0.3164476 0.1585111 0.10441753 0.07081000
#>  [22,] 0.5727661 0.3247296 0.1632059 0.10771949 0.07318402
#>  [23,] 0.5861545 0.3333912 0.1681585 0.11122316 0.07571857
#>  [24,] 0.6000324 0.3424296 0.1733700 0.11493045 0.07841594
#>  [25,] 0.6143907 0.3518425 0.1788417 0.11884353 0.08127873
#>  [26,] 0.6292202 0.3616274 0.1845749 0.12296485 0.08430979
#>  [27,] 0.6445119 0.3717821 0.1905714 0.12729712 0.08751231
#>  [28,] 0.6602566 0.3823043 0.1968331 0.13184340 0.09088978
#>  [29,] 0.6764453 0.3931922 0.2033624 0.13660706 0.09444606
#>  [30,] 0.6930692 0.4044441 0.2101618 0.14159191 0.09818542
#>  [31,] 0.7101197 0.4160587 0.2172344 0.14680217 0.10211259
#>  [32,] 0.7275887 0.4280350 0.2245839 0.15224261 0.10623283
#>  [33,] 0.7454686 0.4403727 0.2322144 0.15791861 0.11055198
#>  [34,] 0.7637524 0.4530721 0.2401308 0.16383623 0.11507659
#>  [35,] 0.7824341 0.4661343 0.2483387 0.17000232 0.11981395
#>  [36,] 0.8015085 0.4795614 0.2568448 0.17642468 0.12477227
#>  [37,] 0.8209719 0.4933565 0.2656567 0.18311209 0.12996071
#>  [38,] 0.8408218 0.5075241 0.2747833 0.19007454 0.13538959
#>  [39,] 0.8610575 0.5220702 0.2842349 0.19732331 0.14107047
#>  [40,] 0.8816801 0.5370024 0.2940232 0.20487116 0.14701632
#>  [41,] 0.9026928 0.5523302 0.3041617 0.21273248 0.15324164
#>  [42,] 0.9241012 0.5680651 0.3146659 0.22092348 0.15976271
#>  [43,] 0.9459134 0.5842210 0.3255533 0.22946235 0.16659767
#>  [44,] 0.9681404 0.6008145 0.3368436 0.23836948 0.17376677
#>  [45,] 0.9907962 0.6178646 0.3485593 0.24766767 0.18129257
#>  [46,] 1.0138981 0.6353936 0.3607253 0.25738230 0.18920013
#>  [47,] 1.0374670 0.6534269 0.3733696 0.26754162 0.19751723
#>  [48,] 1.0615275 0.6719933 0.3865236 0.27817694 0.20627463
#>  [49,] 1.0861082 0.6911254 0.4002218 0.28932289 0.21550633
#>  [50,] 1.1112420 0.7108597 0.4145026 0.30101767 0.22524978
#>  [51,] 1.1369661 0.7312368 0.4294082 0.31330333 0.23554621
#>  [52,] 1.1633224 0.7523019 0.4449853 0.32622604 0.24644094
#>  [53,] 1.1903574 0.7741045 0.4612847 0.33983641 0.25798362
#>  [54,] 1.2181227 0.7966993 0.4783621 0.35418975 0.27022863
#>  [55,] 1.2466750 0.8201457 0.4962784 0.36934644 0.28323540
#>  [56,] 1.2760762 0.8445087 0.5150997 0.38537224 0.29706878
#>  [57,] 1.3063937 0.8698587 0.5348978 0.40233863 0.31179942
#>  [58,] 1.3377003 0.8962717 0.5557503 0.42032322 0.32750422
#>  [59,] 1.3700744 0.9238299 0.5777413 0.43941007 0.34426671
#>  [60,] 1.4036002 0.9526213 0.6009616 0.45969016 0.36217749
#>  [61,] 1.4383675 0.9827406 0.6255085 0.48126170 0.38133477
#>  [62,] 1.4744720 1.0142886 0.6514870 0.50423061 0.40184477
#>  [63,] 1.5120151 1.0473731 0.6790096 0.52871094 0.42382223
#>  [64,] 1.5511040 1.0821086 0.7081967 0.55482524 0.44739094
#>  [65,] 1.5918519 1.1186165 0.7391767 0.58270501 0.47268420
#>  [66,] 1.6343773 1.1570252 0.7720871 0.61249107 0.49984531
#>  [67,] 1.6788047 1.1974703 0.8070735 0.64433396 0.52902805
#>  [68,] 1.7252635 1.2400944 0.8442911 0.67839425 0.56039713
#>  [69,] 1.7738887 1.2850472 0.8839038 0.71484282 0.59412852
#>  [70,] 1.8248198 1.3324851 0.9260850 0.75386109 0.63040983
#>  [71,] 1.8782010 1.3825715 0.9710173 0.79564110 0.66944049
#>  [72,] 1.9341804 1.4354757 1.0188922 0.84038553 0.71143190
#>  [73,] 1.9929093 1.4913732 1.0699101 0.88830753 0.75660733
#>  [74,] 2.0545418 1.5504446 1.1242800 0.93963041 0.80520174
#>  [75,] 2.1192337 1.6128748 1.1822182 0.99458706 0.85746130
#>  [76,] 2.1871412 1.6788522 1.2439481 1.05341911 0.91364266
#>  [77,] 2.2584202 1.7485672 1.3096986 1.11637586 0.97401189
#>  [78,] 2.3332242 1.8222108 1.3797025 1.18371270 1.03884299
#>  [79,] 2.4117028 1.8999726 1.4541949 1.25568923 1.10841604
#>  [80,] 2.4939995 1.9820387 1.5334106 1.33256684 1.18301473
#>  [81,] 2.5802497 2.0685888 1.6175811 1.41460573 1.26292336
#>  [82,] 2.6705774 2.1597933 1.7069315 1.50206134 1.34842314
#>  [83,] 2.7650927 2.2558097 1.8016762 1.59518007 1.43978776
#>  [84,] 2.8638877 2.3567784 1.9020142 1.69419426 1.53727812
#>  [85,] 2.9670332 2.4628182 2.0081237 1.79931638 1.64113620
#>  [86,] 3.0745739 2.5740207 2.1201562 1.91073231 1.75157798
#>  [87,] 3.1865239 2.6904449 2.2382287 2.02859377 1.86878536
#>  [88,] 3.3028611 2.8121105 2.3624169 2.15300986 1.99289708
#>  [89,] 3.4235221 2.9389911 2.4927460 2.28403763 2.12399863
#>  [90,] 3.5483959 3.0710062 2.6291816 2.42167187 2.26211126
#>  [91,] 3.6773174 3.2080136 2.7716199 2.56583411 2.40718004
#>  [92,] 3.8100610 3.3498008 2.9198768 2.71636097 2.55906126
#>  [93,] 3.9463340 3.4960767 3.0736777 2.87299209 2.71750932
#>  [94,] 4.0857695 3.6464622 3.2326458 3.03535793 2.88216341
#>  [95,] 4.2279200 3.8004824 3.3962919 3.20296764 3.05253430
#>  [96,] 4.3722514 3.9575582 3.5640039 3.37519754 3.22799172
#>  [97,] 4.5181370 4.1169991 3.7350374 3.55128072 3.40775296
#>  [98,] 4.6648530 4.2779970 3.9085080 3.73029808 3.59087308
#>  [99,] 4.8115750 4.4396217 4.0833855 3.91117183 3.77623767
#> [100,] 4.9573760 4.6008183 4.2584902 4.09266170 3.96255880
#> 
#> $interventions_vec$IRS_example$effects$impact
#>        [,1]       [,2]      [,3]      [,4]      [,5]      [,6]      [,7]
#>   [1,]    0 0.30192690 0.5176824 0.6715316 0.7806120 0.8571981 0.9101854
#>   [2,]    0 0.30070058 0.5162167 0.6702691 0.7797043 0.8566488 0.9099310
#>   [3,]    0 0.29932761 0.5145400 0.6687826 0.7785890 0.8559227 0.9095357
#>   [4,]    0 0.29781753 0.5126643 0.6670836 0.7772757 0.8550278 0.9090056
#>   [5,]    0 0.29617948 0.5106011 0.6651827 0.7757736 0.8539711 0.9083465
#>   [6,]    0 0.29442224 0.5083613 0.6630902 0.7740910 0.8527594 0.9075633
#>   [7,]    0 0.29255419 0.5059554 0.6608157 0.7722359 0.8513986 0.9066606
#>   [8,]    0 0.29058341 0.5033933 0.6583685 0.7702158 0.8498945 0.9056424
#>   [9,]    0 0.28851766 0.5006847 0.6557573 0.7680376 0.8482523 0.9045126
#>  [10,]    0 0.28636440 0.4978389 0.6529907 0.7657083 0.8464769 0.9032744
#>  [11,]    0 0.28413082 0.4948649 0.6500768 0.7632342 0.8445731 0.9019312
#>  [12,]    0 0.28182384 0.4917712 0.6470236 0.7606216 0.8425452 0.9004859
#>  [13,]    0 0.27945014 0.4885665 0.6438388 0.7578766 0.8403977 0.8989412
#>  [14,]    0 0.27701614 0.4852587 0.6405299 0.7550050 0.8381345 0.8972999
#>  [15,]    0 0.27452805 0.4818559 0.6371042 0.7520126 0.8357597 0.8955643
#>  [16,]    0 0.27199185 0.4783658 0.6335689 0.7489050 0.8332773 0.8937370
#>  [17,]    0 0.26941331 0.4747959 0.6299310 0.7456878 0.8306911 0.8918204
#>  [18,]    0 0.26679796 0.4711535 0.6261974 0.7423665 0.8280049 0.8898167
#>  [19,]    0 0.26415117 0.4674458 0.6223750 0.7389465 0.8252225 0.8877284
#>  [20,]    0 0.26147808 0.4636797 0.6184703 0.7354331 0.8223477 0.8855576
#>  [21,]    0 0.25878363 0.4598619 0.6144901 0.7318319 0.8193843 0.8833067
#>  [22,]    0 0.25607257 0.4559991 0.6104407 0.7281480 0.8163361 0.8809781
#>  [23,]    0 0.25334944 0.4520976 0.6063286 0.7243867 0.8132068 0.8785739
#>  [24,]    0 0.25061858 0.4481637 0.6021599 0.7205533 0.8100003 0.8760967
#>  [25,]    0 0.24788416 0.4442032 0.5979408 0.7166530 0.8067202 0.8735486
#>  [26,]    0 0.24515011 0.4402221 0.5936772 0.7126908 0.8033705 0.8709322
#>  [27,]    0 0.24242019 0.4362260 0.5893751 0.7086719 0.7999547 0.8682497
#>  [28,]    0 0.23969792 0.4322201 0.5850401 0.7046012 0.7964768 0.8655035
#>  [29,]    0 0.23698663 0.4282096 0.5806778 0.7004836 0.7929404 0.8626960
#>  [30,]    0 0.23428946 0.4241994 0.5762934 0.6963239 0.7893491 0.8598295
#>  [31,]    0 0.23160930 0.4201941 0.5718920 0.6921267 0.7857065 0.8569063
#>  [32,]    0 0.22894883 0.4161981 0.5674786 0.6878965 0.7820160 0.8539286
#>  [33,]    0 0.22631053 0.4122155 0.5630579 0.6836376 0.7782811 0.8508986
#>  [34,]    0 0.22369663 0.4082501 0.5586340 0.6793541 0.7745048 0.8478182
#>  [35,]    0 0.22110914 0.4043053 0.5542113 0.6750497 0.7706902 0.8446894
#>  [36,]    0 0.21854983 0.4003844 0.5497934 0.6707281 0.7668402 0.8415139
#>  [37,]    0 0.21602026 0.3964901 0.5453837 0.6663926 0.7629573 0.8382933
#>  [38,]    0 0.21352172 0.3926249 0.5409853 0.6620462 0.7590437 0.8350290
#>  [39,]    0 0.21105528 0.3887909 0.5366009 0.6576914 0.7551016 0.8317219
#>  [40,]    0 0.20862176 0.3849900 0.5322328 0.6533304 0.7511326 0.8283730
#>  [41,]    0 0.20622173 0.3812234 0.5278828 0.6489652 0.7471381 0.8249827
#>  [42,]    0 0.20385552 0.3774923 0.5235524 0.6445972 0.7431189 0.8215512
#>  [43,]    0 0.20152321 0.3737971 0.5192426 0.6402272 0.7390757 0.8180783
#>  [44,]    0 0.19922464 0.3701381 0.5149538 0.6358558 0.7350084 0.8145634
#>  [45,]    0 0.19695939 0.3665151 0.5106860 0.6314829 0.7309167 0.8110055
#>  [46,]    0 0.19472681 0.3629274 0.5064388 0.6271080 0.7267997 0.8074030
#>  [47,]    0 0.19252600 0.3593740 0.5022112 0.6227300 0.7226558 0.8037539
#>  [48,]    0 0.19035582 0.3558535 0.4980016 0.6183471 0.7184832 0.8000557
#>  [49,]    0 0.18821490 0.3523639 0.4938080 0.6139573 0.7142791 0.7963053
#>  [50,]    0 0.18610162 0.3489030 0.4896278 0.6095576 0.7100406 0.7924992
#>  [51,]    0 0.18401417 0.3454682 0.4854579 0.6051447 0.7057638 0.7886330
#>  [52,]    0 0.18195048 0.3420563 0.4812948 0.6007145 0.7014444 0.7847019
#>  [53,]    0 0.17990831 0.3386639 0.4771343 0.5962626 0.6970773 0.7807005
#>  [54,]    0 0.17788519 0.3352871 0.4729717 0.5917838 0.6926569 0.7766227
#>  [55,]    0 0.17587845 0.3319217 0.4688019 0.5872722 0.6881769 0.7724616
#>  [56,]    0 0.17388528 0.3285632 0.4646194 0.5827216 0.6836305 0.7682100
#>  [57,]    0 0.17190265 0.3252066 0.4604179 0.5781251 0.6790101 0.7638596
#>  [58,]    0 0.16992741 0.3218469 0.4561911 0.5734752 0.6743076 0.7594018
#>  [59,]    0 0.16795624 0.3184783 0.4519319 0.5687639 0.6695143 0.7548272
#>  [60,]    0 0.16598571 0.3150953 0.4476329 0.5639828 0.6646207 0.7501256
#>  [61,]    0 0.16401227 0.3116918 0.4432866 0.5591230 0.6596170 0.7452864
#>  [62,]    0 0.16203228 0.3082616 0.4388848 0.5541749 0.6544926 0.7402981
#>  [63,]    0 0.16004200 0.3047982 0.4344191 0.5491289 0.6492367 0.7351487
#>  [64,]    0 0.15803768 0.3012952 0.4298810 0.5439746 0.6438376 0.7298256
#>  [65,]    0 0.15601548 0.2977458 0.4252616 0.5387016 0.6382834 0.7243156
#>  [66,]    0 0.15397157 0.2941433 0.4205520 0.5332990 0.6325617 0.7186049
#>  [67,]    0 0.15190213 0.2904810 0.4157429 0.5277557 0.6266598 0.7126791
#>  [68,]    0 0.14980337 0.2867520 0.4108252 0.5220605 0.6205645 0.7065233
#>  [69,]    0 0.14767154 0.2829496 0.4057896 0.5162020 0.6142625 0.7001224
#>  [70,]    0 0.14550300 0.2790671 0.4006269 0.5101687 0.6077402 0.6934607
#>  [71,]    0 0.14329419 0.2750981 0.3953281 0.5039492 0.6009838 0.6865220
#>  [72,]    0 0.14104170 0.2710361 0.3898841 0.4975320 0.5939796 0.6792903
#>  [73,]    0 0.13874231 0.2668752 0.3842864 0.4909060 0.5867139 0.6717490
#>  [74,]    0 0.13639297 0.2626095 0.3785266 0.4840603 0.5791730 0.6638816
#>  [75,]    0 0.13399088 0.2582336 0.3725967 0.4769843 0.5713435 0.6556718
#>  [76,]    0 0.13153349 0.2537426 0.3664893 0.4696679 0.5632124 0.6471031
#>  [77,]    0 0.12901857 0.2491321 0.3601975 0.4621017 0.5547673 0.6381599
#>  [78,]    0 0.12644423 0.2443980 0.3537152 0.4542768 0.5459964 0.6288265
#>  [79,]    0 0.12380893 0.2395371 0.3470369 0.4461853 0.5368886 0.6190885
#>  [80,]    0 0.12111159 0.2345469 0.3401584 0.4378206 0.5274342 0.6089320
#>  [81,]    0 0.11835153 0.2294257 0.3330763 0.4291768 0.5176244 0.5983446
#>  [82,]    0 0.11552862 0.2241726 0.3257884 0.4202499 0.5074521 0.5873152
#>  [83,]    0 0.11264326 0.2187878 0.3182939 0.4110373 0.4969121 0.5758349
#>  [84,]    0 0.10969641 0.2132725 0.3105936 0.4015381 0.4860009 0.5638967
#>  [85,]    0 0.10668970 0.2076293 0.3026897 0.3917536 0.4747178 0.5514963
#>  [86,]    0 0.10362543 0.2018618 0.2945867 0.3816877 0.4630647 0.5386325
#>  [87,]    0 0.10050661 0.1959752 0.2862907 0.3713463 0.4510464 0.5253076
#>  [88,]    0 0.09733706 0.1899762 0.2778101 0.3607388 0.4386715 0.5115280
#>  [89,]    0 0.09412142 0.1838731 0.2691561 0.3498775 0.4259524 0.4973049
#>  [90,]    0 0.09086519 0.1776760 0.2603420 0.3387781 0.4129059 0.4826544
#>  [91,]    0 0.08757482 0.1713968 0.2513843 0.3274604 0.3995536 0.4675988
#>  [92,]    0 0.08425775 0.1650494 0.2423025 0.3159483 0.3859225 0.4521666
#>  [93,]    0 0.08092242 0.1586500 0.2331193 0.3042700 0.3720454 0.4363937
#>  [94,]    0 0.07757838 0.1522169 0.2238610 0.2924587 0.3579613 0.4203236
#>  [95,]    0 0.07423630 0.1457708 0.2145575 0.2805529 0.3437158 0.4040084
#>  [96,]    0 0.07090803 0.1393348 0.2052427 0.2685962 0.3293620 0.3875090
#>  [97,]    0 0.06760661 0.1329345 0.1959544 0.2566382 0.3149601 0.3708962
#>  [98,]    0 0.06434638 0.1265985 0.1867347 0.2447344 0.3005787 0.3542504
#>  [99,]    0 0.06114293 0.1203578 0.1776300 0.2329462 0.2862940 0.3376627
#> [100,]    0 0.05801320 0.1142463 0.1686914 0.2213416 0.2721909 0.3212346
#>             [,8]      [,9]     [,10]     [,11]     [,12]
#>   [1,] 0.9460835 0.9696931 0.9845746 0.9895989 0.9927101
#>   [2,] 0.9460384 0.9697734 0.9847103 0.9897418 0.9928511
#>   [3,] 0.9458873 0.9697787 0.9847965 0.9898458 0.9929606
#>   [4,] 0.9456351 0.9697129 0.9848362 0.9899134 0.9930410
#>   [5,] 0.9452863 0.9695793 0.9848320 0.9899470 0.9930940
#>   [6,] 0.9448445 0.9693807 0.9847859 0.9899482 0.9931215
#>   [7,] 0.9443132 0.9691197 0.9846999 0.9899188 0.9931247
#>   [8,] 0.9436952 0.9687983 0.9845754 0.9898599 0.9931048
#>   [9,] 0.9429932 0.9684183 0.9844136 0.9897726 0.9930627
#>  [10,] 0.9422095 0.9679813 0.9842157 0.9896578 0.9929991
#>  [11,] 0.9413460 0.9674886 0.9839824 0.9895162 0.9929147
#>  [12,] 0.9404048 0.9669413 0.9837146 0.9893484 0.9928099
#>  [13,] 0.9393875 0.9663405 0.9834127 0.9891548 0.9926851
#>  [14,] 0.9382956 0.9656869 0.9830772 0.9889357 0.9925405
#>  [15,] 0.9371306 0.9649813 0.9827085 0.9886913 0.9923762
#>  [16,] 0.9358938 0.9642244 0.9823067 0.9884218 0.9921925
#>  [17,] 0.9345865 0.9634167 0.9818721 0.9881273 0.9919892
#>  [18,] 0.9332099 0.9625586 0.9814048 0.9878077 0.9917664
#>  [19,] 0.9317652 0.9616507 0.9809049 0.9874630 0.9915239
#>  [20,] 0.9302536 0.9606934 0.9803722 0.9870932 0.9912616
#>  [21,] 0.9286762 0.9596871 0.9798069 0.9866980 0.9909794
#>  [22,] 0.9270341 0.9586320 0.9792088 0.9862774 0.9906769
#>  [23,] 0.9253285 0.9575286 0.9785779 0.9858310 0.9903540
#>  [24,] 0.9235606 0.9563771 0.9779140 0.9853588 0.9900104
#>  [25,] 0.9217314 0.9551780 0.9772170 0.9848603 0.9896457
#>  [26,] 0.9198423 0.9539315 0.9764866 0.9843352 0.9892596
#>  [27,] 0.9178942 0.9526379 0.9757227 0.9837833 0.9888516
#>  [28,] 0.9158885 0.9512974 0.9749250 0.9832042 0.9884214
#>  [29,] 0.9138262 0.9499104 0.9740932 0.9825973 0.9879683
#>  [30,] 0.9117084 0.9484770 0.9732270 0.9819623 0.9874919
#>  [31,] 0.9095363 0.9469974 0.9723260 0.9812986 0.9869917
#>  [32,] 0.9073109 0.9454717 0.9713898 0.9806055 0.9864668
#>  [33,] 0.9050331 0.9439000 0.9704177 0.9798824 0.9859165
#>  [34,] 0.9027039 0.9422822 0.9694092 0.9791285 0.9853401
#>  [35,] 0.9003240 0.9406181 0.9683636 0.9783430 0.9847366
#>  [36,] 0.8978941 0.9389076 0.9672800 0.9775249 0.9841050
#>  [37,] 0.8954146 0.9371502 0.9661574 0.9766729 0.9834440
#>  [38,] 0.8928859 0.9353454 0.9649948 0.9757860 0.9827524
#>  [39,] 0.8903080 0.9334923 0.9637907 0.9748626 0.9820287
#>  [40,] 0.8876808 0.9315901 0.9625437 0.9739010 0.9812713
#>  [41,] 0.8850040 0.9296375 0.9612522 0.9728995 0.9804782
#>  [42,] 0.8822767 0.9276329 0.9599140 0.9718561 0.9796475
#>  [43,] 0.8794980 0.9255748 0.9585271 0.9707683 0.9787768
#>  [44,] 0.8766665 0.9234609 0.9570888 0.9696336 0.9778635
#>  [45,] 0.8737803 0.9212889 0.9555963 0.9684491 0.9769047
#>  [46,] 0.8708373 0.9190558 0.9540464 0.9672115 0.9758974
#>  [47,] 0.8678348 0.9167585 0.9524356 0.9659173 0.9748378
#>  [48,] 0.8647697 0.9143933 0.9507599 0.9645624 0.9737222
#>  [49,] 0.8616383 0.9119560 0.9490149 0.9631425 0.9725462
#>  [50,] 0.8584364 0.9094420 0.9471956 0.9616527 0.9713049
#>  [51,] 0.8551594 0.9068461 0.9452967 0.9600876 0.9699933
#>  [52,] 0.8518018 0.9041626 0.9433123 0.9584413 0.9686053
#>  [53,] 0.8483578 0.9013851 0.9412359 0.9567075 0.9671349
#>  [54,] 0.8448207 0.8985067 0.9390604 0.9548790 0.9655750
#>  [55,] 0.8411833 0.8955198 0.9367780 0.9529481 0.9639180
#>  [56,] 0.8374379 0.8924162 0.9343803 0.9509066 0.9621558
#>  [57,] 0.8335756 0.8891868 0.9318582 0.9487452 0.9602792
#>  [58,] 0.8295874 0.8858220 0.9292018 0.9464541 0.9582785
#>  [59,] 0.8254632 0.8823113 0.9264003 0.9440226 0.9561431
#>  [60,] 0.8211923 0.8786435 0.9234422 0.9414391 0.9538614
#>  [61,] 0.8167632 0.8748065 0.9203151 0.9386910 0.9514209
#>  [62,] 0.8121638 0.8707875 0.9170056 0.9357650 0.9488081
#>  [63,] 0.8073811 0.8665728 0.9134995 0.9326464 0.9460084
#>  [64,] 0.8024015 0.8621478 0.9097813 0.9293196 0.9430059
#>  [65,] 0.7972105 0.8574970 0.9058347 0.9257679 0.9397837
#>  [66,] 0.7917931 0.8526040 0.9016421 0.9219734 0.9363236
#>  [67,] 0.7861334 0.8474516 0.8971851 0.9179169 0.9326060
#>  [68,] 0.7802149 0.8420217 0.8924439 0.9135779 0.9286098
#>  [69,] 0.7740204 0.8362950 0.8873976 0.9089346 0.9243127
#>  [70,] 0.7675322 0.8302518 0.8820240 0.9039640 0.9196907
#>  [71,] 0.7607319 0.8238712 0.8763000 0.8986415 0.9147185
#>  [72,] 0.7536005 0.8171316 0.8702011 0.8929414 0.9093691
#>  [73,] 0.7461189 0.8100107 0.8637018 0.8868366 0.9036141
#>  [74,] 0.7382674 0.8024855 0.8567755 0.8802984 0.8974236
#>  [75,] 0.7300262 0.7945323 0.8493946 0.8732974 0.8907661
#>  [76,] 0.7213753 0.7861273 0.8415307 0.8658026 0.8836091
#>  [77,] 0.7122949 0.7772462 0.8331546 0.8577824 0.8759185
#>  [78,] 0.7027655 0.7678646 0.8242367 0.8492042 0.8676595
#>  [79,] 0.6927679 0.7579583 0.8147469 0.8400350 0.8587964
#>  [80,] 0.6822839 0.7475037 0.8046555 0.8302414 0.8492932
#>  [81,] 0.6712963 0.7364779 0.7939328 0.8197903 0.8391134
#>  [82,] 0.6597893 0.7248592 0.7825503 0.8086491 0.8282214
#>  [83,] 0.6477488 0.7126275 0.7704805 0.7967865 0.8165823
#>  [84,] 0.6351631 0.6997648 0.7576982 0.7841729 0.8041628
#>  [85,] 0.6220231 0.6862562 0.7441807 0.7707811 0.7909321
#>  [86,] 0.6083233 0.6720899 0.7299087 0.7565876 0.7768626
#>  [87,] 0.5940617 0.6572583 0.7148671 0.7415730 0.7619313
#>  [88,] 0.5792413 0.6417591 0.6990465 0.7257234 0.7461205
#>  [89,] 0.5638700 0.6255955 0.6824436 0.7090314 0.7294192
#>  [90,] 0.5479621 0.6087778 0.6650628 0.6914979 0.7118247
#>  [91,] 0.5315385 0.5913241 0.6469173 0.6731328 0.6933441
#>  [92,] 0.5146280 0.5732615 0.6280305 0.6539568 0.6739956
#>  [93,] 0.4972679 0.5546271 0.6084375 0.6340032 0.6538105
#>  [94,] 0.4795049 0.5354692 0.5881862 0.6133191 0.6328349
#>  [95,] 0.4613960 0.5158482 0.5673389 0.5919669 0.6111310
#>  [96,] 0.4430093 0.4958380 0.5459737 0.5700262 0.5887791
#>  [97,] 0.4244246 0.4755264 0.5241854 0.5475946 0.5658789
#>  [98,] 0.4057341 0.4550166 0.5020866 0.5247891 0.5425508
#>  [99,] 0.3870429 0.4344268 0.4798086 0.5017472 0.5189368
#> [100,] 0.3684690 0.4138917 0.4575016 0.4786268 0.4952009
#> 
#> $interventions_vec$IRS_example$effects$avg_vc
#>  [1] 7.8497746 6.3816158 5.1601028 4.1443565 3.3019913 2.6068381 2.0373291
#>  [8] 1.5753317 1.2052941 0.9136110 0.7933143 0.7080390
#> 
#> $interventions_vec$IRS_example$effects$avg_impact
#>  [1] 0.0000000 0.1870320 0.3426432 0.4720413 0.5793521 0.6679092 0.7404602
#>  [8] 0.7993150 0.8464549 0.8836131 0.8989379 0.9098014
#> 
#> 
#> $interventions_vec$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] 0.6133496
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$M.sd
#> [1] 0.003573648
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$Chi
#> [1] 0.8510504
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$A0
#> [1] 0.6281329
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$A0.sd
#> [1] 0.06781467
#> 
#> $interventions_vec$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] 0.7756787
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$endophily.sd
#> [1] 0.01193465
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$endophagy
#> [1] 0.560532
#> 
#> $interventions_vec$IRS_example$model_p$vec_params$endophagy.sd
#> [1] 0.004865588
#> 
#> 
#> $interventions_vec$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] 0.6592188
#> 
#> $interventions_vec$IRS_example$model_p$host_params$alphai
#> [1] 0.0019901083 0.0003483059
#> 
#> 
#> $interventions_vec$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,] 0.0008845631 0.001990108 0.0003483059
#>   [2,] 0.0008845631 0.001990108 0.0003483059
#>   [3,] 0.0008845631 0.001990108 0.0003483059
#>   [4,] 0.0008845631 0.001990108 0.0003483059
#>   [5,] 0.0008845631 0.001990108 0.0003483059
#>   [6,] 0.0008845631 0.001990108 0.0003483059
#>   [7,] 0.0008845631 0.001990108 0.0003483059
#>   [8,] 0.0008845631 0.001990108 0.0003483059
#>   [9,] 0.0008845631 0.001990108 0.0003483059
#>  [10,] 0.0008845631 0.001990108 0.0003483059
#>  [11,] 0.0008845631 0.001990108 0.0003483059
#>  [12,] 0.0008845631 0.001990108 0.0003483059
#>  [13,] 0.0008845631 0.001990108 0.0003483059
#>  [14,] 0.0008845631 0.001990108 0.0003483059
#>  [15,] 0.0008845631 0.001990108 0.0003483059
#>  [16,] 0.0008845631 0.001990108 0.0003483059
#>  [17,] 0.0008845631 0.001990108 0.0003483059
#>  [18,] 0.0008845631 0.001990108 0.0003483059
#>  [19,] 0.0008845631 0.001990108 0.0003483059
#>  [20,] 0.0008845631 0.001990108 0.0003483059
#>  [21,] 0.0008845631 0.001990108 0.0003483059
#>  [22,] 0.0008845631 0.001990108 0.0003483059
#>  [23,] 0.0008845631 0.001990108 0.0003483059
#>  [24,] 0.0008845631 0.001990108 0.0003483059
#>  [25,] 0.0008845631 0.001990108 0.0003483059
#>  [26,] 0.0008845631 0.001990108 0.0003483059
#>  [27,] 0.0008845631 0.001990108 0.0003483059
#>  [28,] 0.0008845631 0.001990108 0.0003483059
#>  [29,] 0.0008845631 0.001990108 0.0003483059
#>  [30,] 0.0008845631 0.001990108 0.0003483059
#>  [31,] 0.0008845631 0.001990108 0.0003483059
#>  [32,] 0.0008845631 0.001990108 0.0003483059
#>  [33,] 0.0008845631 0.001990108 0.0003483059
#>  [34,] 0.0008845631 0.001990108 0.0003483059
#>  [35,] 0.0008845631 0.001990108 0.0003483059
#>  [36,] 0.0008845631 0.001990108 0.0003483059
#>  [37,] 0.0008845631 0.001990108 0.0003483059
#>  [38,] 0.0008845631 0.001990108 0.0003483059
#>  [39,] 0.0008845631 0.001990108 0.0003483059
#>  [40,] 0.0008845631 0.001990108 0.0003483059
#>  [41,] 0.0008845631 0.001990108 0.0003483059
#>  [42,] 0.0008845631 0.001990108 0.0003483059
#>  [43,] 0.0008845631 0.001990108 0.0003483059
#>  [44,] 0.0008845631 0.001990108 0.0003483059
#>  [45,] 0.0008845631 0.001990108 0.0003483059
#>  [46,] 0.0008845631 0.001990108 0.0003483059
#>  [47,] 0.0008845631 0.001990108 0.0003483059
#>  [48,] 0.0008845631 0.001990108 0.0003483059
#>  [49,] 0.0008845631 0.001990108 0.0003483059
#>  [50,] 0.0008845631 0.001990108 0.0003483059
#>  [51,] 0.0008845631 0.001990108 0.0003483059
#>  [52,] 0.0008845631 0.001990108 0.0003483059
#>  [53,] 0.0008845631 0.001990108 0.0003483059
#>  [54,] 0.0008845631 0.001990108 0.0003483059
#>  [55,] 0.0008845631 0.001990108 0.0003483059
#>  [56,] 0.0008845631 0.001990108 0.0003483059
#>  [57,] 0.0008845631 0.001990108 0.0003483059
#>  [58,] 0.0008845631 0.001990108 0.0003483059
#>  [59,] 0.0008845631 0.001990108 0.0003483059
#>  [60,] 0.0008845631 0.001990108 0.0003483059
#>  [61,] 0.0008845631 0.001990108 0.0003483059
#>  [62,] 0.0008845631 0.001990108 0.0003483059
#>  [63,] 0.0008845631 0.001990108 0.0003483059
#>  [64,] 0.0008845631 0.001990108 0.0003483059
#>  [65,] 0.0008845631 0.001990108 0.0003483059
#>  [66,] 0.0008845631 0.001990108 0.0003483059
#>  [67,] 0.0008845631 0.001990108 0.0003483059
#>  [68,] 0.0008845631 0.001990108 0.0003483059
#>  [69,] 0.0008845631 0.001990108 0.0003483059
#>  [70,] 0.0008845631 0.001990108 0.0003483059
#>  [71,] 0.0008845631 0.001990108 0.0003483059
#>  [72,] 0.0008845631 0.001990108 0.0003483059
#>  [73,] 0.0008845631 0.001990108 0.0003483059
#>  [74,] 0.0008845631 0.001990108 0.0003483059
#>  [75,] 0.0008845631 0.001990108 0.0003483059
#>  [76,] 0.0008845631 0.001990108 0.0003483059
#>  [77,] 0.0008845631 0.001990108 0.0003483059
#>  [78,] 0.0008845631 0.001990108 0.0003483059
#>  [79,] 0.0008845631 0.001990108 0.0003483059
#>  [80,] 0.0008845631 0.001990108 0.0003483059
#>  [81,] 0.0008845631 0.001990108 0.0003483059
#>  [82,] 0.0008845631 0.001990108 0.0003483059
#>  [83,] 0.0008845631 0.001990108 0.0003483059
#>  [84,] 0.0008845631 0.001990108 0.0003483059
#>  [85,] 0.0008845631 0.001990108 0.0003483059
#>  [86,] 0.0008845631 0.001990108 0.0003483059
#>  [87,] 0.0008845631 0.001990108 0.0003483059
#>  [88,] 0.0008845631 0.001990108 0.0003483059
#>  [89,] 0.0008845631 0.001990108 0.0003483059
#>  [90,] 0.0008845631 0.001990108 0.0003483059
#>  [91,] 0.0008845631 0.001990108 0.0003483059
#>  [92,] 0.0008845631 0.001990108 0.0003483059
#>  [93,] 0.0008845631 0.001990108 0.0003483059
#>  [94,] 0.0008845631 0.001990108 0.0003483059
#>  [95,] 0.0008845631 0.001990108 0.0003483059
#>  [96,] 0.0008845631 0.001990108 0.0003483059
#>  [97,] 0.0008845631 0.001990108 0.0003483059
#>  [98,] 0.0008845631 0.001990108 0.0003483059
#>  [99,] 0.0008845631 0.001990108 0.0003483059
#> [100,] 0.0008845631 0.001990108 0.0003483059
#> 
#> $interventions_vec$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,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>   [2,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>   [3,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>   [4,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>   [5,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>   [6,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>   [7,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>   [8,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>   [9,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [10,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [11,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [12,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [13,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [14,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [15,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [16,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [17,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [18,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [19,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [20,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [21,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [22,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [23,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [24,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [25,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [26,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [27,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [28,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [29,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [30,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [31,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [32,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [33,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [34,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [35,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [36,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [37,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [38,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [39,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [40,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [41,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [42,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [43,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [44,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [45,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [46,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [47,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [48,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [49,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [50,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [51,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [52,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [53,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [54,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [55,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [56,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [57,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [58,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [59,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [60,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [61,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [62,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [63,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [64,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [65,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [66,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [67,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [68,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [69,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [70,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [71,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [72,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [73,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [74,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [75,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [76,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [77,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [78,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [79,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [80,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [81,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [82,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [83,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [84,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [85,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [86,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [87,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [88,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [89,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [90,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [91,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [92,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [93,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [94,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [95,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [96,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [97,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [98,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>  [99,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#> [100,] 7.849775 7.231879 6.618042 6.010336 5.411078 4.82285 4.248525 3.691288
#>            [,9]    [,10]    [,11]    [,12]
#>   [1,] 3.154664 2.642552 2.397015 2.206156
#>   [2,] 3.154664 2.642552 2.397015 2.206156
#>   [3,] 3.154664 2.642552 2.397015 2.206156
#>   [4,] 3.154664 2.642552 2.397015 2.206156
#>   [5,] 3.154664 2.642552 2.397015 2.206156
#>   [6,] 3.154664 2.642552 2.397015 2.206156
#>   [7,] 3.154664 2.642552 2.397015 2.206156
#>   [8,] 3.154664 2.642552 2.397015 2.206156
#>   [9,] 3.154664 2.642552 2.397015 2.206156
#>  [10,] 3.154664 2.642552 2.397015 2.206156
#>  [11,] 3.154664 2.642552 2.397015 2.206156
#>  [12,] 3.154664 2.642552 2.397015 2.206156
#>  [13,] 3.154664 2.642552 2.397015 2.206156
#>  [14,] 3.154664 2.642552 2.397015 2.206156
#>  [15,] 3.154664 2.642552 2.397015 2.206156
#>  [16,] 3.154664 2.642552 2.397015 2.206156
#>  [17,] 3.154664 2.642552 2.397015 2.206156
#>  [18,] 3.154664 2.642552 2.397015 2.206156
#>  [19,] 3.154664 2.642552 2.397015 2.206156
#>  [20,] 3.154664 2.642552 2.397015 2.206156
#>  [21,] 3.154664 2.642552 2.397015 2.206156
#>  [22,] 3.154664 2.642552 2.397015 2.206156
#>  [23,] 3.154664 2.642552 2.397015 2.206156
#>  [24,] 3.154664 2.642552 2.397015 2.206156
#>  [25,] 3.154664 2.642552 2.397015 2.206156
#>  [26,] 3.154664 2.642552 2.397015 2.206156
#>  [27,] 3.154664 2.642552 2.397015 2.206156
#>  [28,] 3.154664 2.642552 2.397015 2.206156
#>  [29,] 3.154664 2.642552 2.397015 2.206156
#>  [30,] 3.154664 2.642552 2.397015 2.206156
#>  [31,] 3.154664 2.642552 2.397015 2.206156
#>  [32,] 3.154664 2.642552 2.397015 2.206156
#>  [33,] 3.154664 2.642552 2.397015 2.206156
#>  [34,] 3.154664 2.642552 2.397015 2.206156
#>  [35,] 3.154664 2.642552 2.397015 2.206156
#>  [36,] 3.154664 2.642552 2.397015 2.206156
#>  [37,] 3.154664 2.642552 2.397015 2.206156
#>  [38,] 3.154664 2.642552 2.397015 2.206156
#>  [39,] 3.154664 2.642552 2.397015 2.206156
#>  [40,] 3.154664 2.642552 2.397015 2.206156
#>  [41,] 3.154664 2.642552 2.397015 2.206156
#>  [42,] 3.154664 2.642552 2.397015 2.206156
#>  [43,] 3.154664 2.642552 2.397015 2.206156
#>  [44,] 3.154664 2.642552 2.397015 2.206156
#>  [45,] 3.154664 2.642552 2.397015 2.206156
#>  [46,] 3.154664 2.642552 2.397015 2.206156
#>  [47,] 3.154664 2.642552 2.397015 2.206156
#>  [48,] 3.154664 2.642552 2.397015 2.206156
#>  [49,] 3.154664 2.642552 2.397015 2.206156
#>  [50,] 3.154664 2.642552 2.397015 2.206156
#>  [51,] 3.154664 2.642552 2.397015 2.206156
#>  [52,] 3.154664 2.642552 2.397015 2.206156
#>  [53,] 3.154664 2.642552 2.397015 2.206156
#>  [54,] 3.154664 2.642552 2.397015 2.206156
#>  [55,] 3.154664 2.642552 2.397015 2.206156
#>  [56,] 3.154664 2.642552 2.397015 2.206156
#>  [57,] 3.154664 2.642552 2.397015 2.206156
#>  [58,] 3.154664 2.642552 2.397015 2.206156
#>  [59,] 3.154664 2.642552 2.397015 2.206156
#>  [60,] 3.154664 2.642552 2.397015 2.206156
#>  [61,] 3.154664 2.642552 2.397015 2.206156
#>  [62,] 3.154664 2.642552 2.397015 2.206156
#>  [63,] 3.154664 2.642552 2.397015 2.206156
#>  [64,] 3.154664 2.642552 2.397015 2.206156
#>  [65,] 3.154664 2.642552 2.397015 2.206156
#>  [66,] 3.154664 2.642552 2.397015 2.206156
#>  [67,] 3.154664 2.642552 2.397015 2.206156
#>  [68,] 3.154664 2.642552 2.397015 2.206156
#>  [69,] 3.154664 2.642552 2.397015 2.206156
#>  [70,] 3.154664 2.642552 2.397015 2.206156
#>  [71,] 3.154664 2.642552 2.397015 2.206156
#>  [72,] 3.154664 2.642552 2.397015 2.206156
#>  [73,] 3.154664 2.642552 2.397015 2.206156
#>  [74,] 3.154664 2.642552 2.397015 2.206156
#>  [75,] 3.154664 2.642552 2.397015 2.206156
#>  [76,] 3.154664 2.642552 2.397015 2.206156
#>  [77,] 3.154664 2.642552 2.397015 2.206156
#>  [78,] 3.154664 2.642552 2.397015 2.206156
#>  [79,] 3.154664 2.642552 2.397015 2.206156
#>  [80,] 3.154664 2.642552 2.397015 2.206156
#>  [81,] 3.154664 2.642552 2.397015 2.206156
#>  [82,] 3.154664 2.642552 2.397015 2.206156
#>  [83,] 3.154664 2.642552 2.397015 2.206156
#>  [84,] 3.154664 2.642552 2.397015 2.206156
#>  [85,] 3.154664 2.642552 2.397015 2.206156
#>  [86,] 3.154664 2.642552 2.397015 2.206156
#>  [87,] 3.154664 2.642552 2.397015 2.206156
#>  [88,] 3.154664 2.642552 2.397015 2.206156
#>  [89,] 3.154664 2.642552 2.397015 2.206156
#>  [90,] 3.154664 2.642552 2.397015 2.206156
#>  [91,] 3.154664 2.642552 2.397015 2.206156
#>  [92,] 3.154664 2.642552 2.397015 2.206156
#>  [93,] 3.154664 2.642552 2.397015 2.206156
#>  [94,] 3.154664 2.642552 2.397015 2.206156
#>  [95,] 3.154664 2.642552 2.397015 2.206156
#>  [96,] 3.154664 2.642552 2.397015 2.206156
#>  [97,] 3.154664 2.642552 2.397015 2.206156
#>  [98,] 3.154664 2.642552 2.397015 2.206156
#>  [99,] 3.154664 2.642552 2.397015 2.206156
#> [100,] 3.154664 2.642552 2.397015 2.206156
#> 
#> $interventions_vec$Screening_example$effects$impact
#>        [,1]       [,2]      [,3]      [,4]      [,5]      [,6]     [,7]
#>   [1,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>   [2,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>   [3,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>   [4,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>   [5,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>   [6,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>   [7,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>   [8,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>   [9,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [10,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [11,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [12,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [13,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [14,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [15,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [16,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [17,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [18,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [19,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [20,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [21,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [22,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [23,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [24,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [25,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [26,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [27,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [28,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [29,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [30,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [31,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [32,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [33,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [34,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [35,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [36,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [37,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [38,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [39,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [40,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [41,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [42,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [43,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [44,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [45,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [46,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [47,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [48,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [49,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [50,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [51,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [52,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [53,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [54,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [55,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [56,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [57,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [58,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [59,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [60,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [61,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [62,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [63,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [64,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [65,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [66,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [67,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [68,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [69,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [70,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [71,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [72,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [73,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [74,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [75,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [76,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [77,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [78,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [79,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [80,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [81,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [82,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [83,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [84,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [85,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [86,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [87,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [88,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [89,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [90,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [91,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [92,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [93,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [94,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [95,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [96,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [97,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [98,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>  [99,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#> [100,]    0 0.07871501 0.1569131 0.2343301 0.3106709 0.3856065 0.458771
#>             [,8]      [,9]     [,10]     [,11]    [,12]
#>   [1,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>   [2,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>   [3,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>   [4,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>   [5,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>   [6,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>   [7,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>   [8,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>   [9,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [10,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [11,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [12,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [13,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [14,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [15,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [16,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [17,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [18,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [19,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [20,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [21,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [22,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [23,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [24,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [25,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [26,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [27,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [28,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [29,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [30,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [31,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [32,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [33,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [34,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [35,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [36,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [37,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [38,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [39,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [40,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [41,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [42,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [43,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [44,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [45,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [46,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [47,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [48,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [49,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [50,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [51,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [52,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [53,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [54,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [55,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [56,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [57,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [58,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [59,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [60,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [61,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [62,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [63,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [64,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [65,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [66,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [67,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [68,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [69,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [70,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [71,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [72,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [73,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [74,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [75,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [76,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [77,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [78,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [79,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [80,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [81,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [82,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [83,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [84,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [85,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [86,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [87,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [88,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [89,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [90,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [91,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [92,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [93,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [94,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [95,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [96,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [97,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [98,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#>  [99,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#> [100,] 0.5297588 0.5981205 0.6633596 0.6946389 0.718953
#> 
#> $interventions_vec$Screening_example$effects$avg_vc
#>  [1] 7.849775 7.231879 6.618042 6.010336 5.411078 4.822850 4.248525 3.691288
#>  [9] 3.154664 2.642552 2.397015 2.206156
#> 
#> $interventions_vec$Screening_example$effects$avg_impact
#>  [1] 0.00000000 0.07871501 0.15691308 0.23433012 0.31067094 0.38560650
#>  [7] 0.45877103 0.52975878 0.59812049 0.66335955 0.69463894 0.71895298
#> 
#> 
#> $interventions_vec$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] 0.6133496
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$M.sd
#> [1] 0.003573648
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$Chi
#> [1] 0.8510504
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$A0
#> [1] 0.6281329
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$A0.sd
#> [1] 0.06781467
#> 
#> $interventions_vec$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] 0.7756787
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$endophily.sd
#> [1] 0.01193465
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$endophagy
#> [1] 0.560532
#> 
#> $interventions_vec$Screening_example$model_p$vec_params$endophagy.sd
#> [1] 0.004865588
#> 
#> 
#> $interventions_vec$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] 0.6592188
#> 
#> $interventions_vec$Screening_example$model_p$host_params$alphai
#> [1] 0.0019901083 0.0003483059
#> 
#> 
#> $interventions_vec$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
#> 
#> 
#>