Set up initial conditions for model
Arguments
- data
A list of data as produced by
fv_as_data_list()
.- strains
Integer number of strains. Defaults to 2. Current maximum is 2.
See also
Functions used for modelling
fv_as_data_list()
,
fv_model()
,
fv_sample()
Examples
dt <- fv_as_data_list(latest_obs(germany_covid19_delta_obs))
inits <- fv_inits(dt)
inits
#> function ()
#> {
#> inits <- list(init_cases = array(log(abs(rnorm(1, data$X[1],
#> data$X[1] * 0.01)))), r_init = rnorm(1, data$r_init_mean,
#> data$r_init_sd * 0.1), r_scale = abs(rnorm(1, 0, 0.01)),
#> eta = rnorm(data$eta_n, 0, 0.01), beta = rnorm(1, 0,
#> 0.1), sqrt_phi = array(abs(rnorm(2, 0, 0.01))), period_eff = numeric(0),
#> period_sd = numeric(0))
#> if (data$period > 1) {
#> inits$period_eff <- array(rnorm(data$period, 0, 0.1))
#> inits$period_sd <- array(abs(rnorm(1, 0, 0.1)))
#> }
#> if (strains == 1) {
#> inits$sqrt_phi <- array(inits$sqrt_phi[1])
#> }
#> else {
#> inits$init_voc_cases <- array(log(abs(rnorm(1, max(2,
#> data$X[data$t_nseq + 1] * data$Y[1]/data$N[1]), max(2,
#> data$X[data$t_nseq + 1] * data$Y[1]/data$N[1]) *
#> 0.01))))
#> inits$voc_mod <- rnorm(1, data$voc_mean, data$voc_sd *
#> 0.1)
#> if (data$relat == 1) {
#> inits$voc_beta <- array(rnorm(1, 0, 0.1))
#> }
#> else {
#> inits$voc_beta <- numeric(0)
#> }
#> if (data$relat > 0) {
#> inits$voc_scale <- array(abs(rnorm(1, 0, 0.01)))
#> inits$voc_eta <- array(rnorm(data$voc_eta_n, 0, 0.01))
#> }
#> else {
#> inits$voc_scale <- numeric(0)
#> inits$voc_eta <- numeric(0)
#> }
#> if (data$relat == 2) {
#> inits$L_Omega <- matrix(c(1, runif(1), 0, runif(1)),
#> 2, 2)
#> }
#> }
#> if (data$overdisp == 0) {
#> inits$sqrt_phi <- numeric(0)
#> }
#> return(inits)
#> }
#> <bytecode: 0x56147b0058f8>
#> <environment: 0x56147b0177a8>
inits()
#> $init_cases
#> [1] 11.39105
#>
#> $r_init
#> [1] -0.002140911
#>
#> $r_scale
#> [1] 0.01916657
#>
#> $eta
#> [1] 0.0189089153 -0.0065026105 0.0110080129 0.0052629302 -0.0106846367
#> [6] 0.0044875815 -0.0092880806 0.0070017097 -0.0073147631 -0.0008622982
#> [11] 0.0176647064 0.0028966139 -0.0115996232 -0.0040765491 -0.0038134168
#> [16] -0.0037690796 0.0251046806 0.0081073505 -0.0027244378 0.0170639987
#> [21] -0.0029992846 0.0030125829 0.0032279109 0.0069573894 -0.0008951478
#> [26] -0.0083367101 0.0018424883 0.0054326334
#>
#> $beta
#> [1] -0.05646581
#>
#> $sqrt_phi
#> [1] 0.001178809 0.010368273
#>
#> $period_eff
#> numeric(0)
#>
#> $period_sd
#> numeric(0)
#>
#> $init_voc_cases
#> [1] 5.314331
#>
#> $voc_mod
#> [1] -0.005205521
#>
#> $voc_beta
#> numeric(0)
#>
#> $voc_scale
#> [1] 0.01724864
#>
#> $voc_eta
#> [1] 0.012336801 0.006332049 -0.006422060 0.012584784 0.010832405
#> [6] 0.003503720 0.026068216 0.016902590 0.013814442 -0.011647833
#> [11] -0.004595146 0.006775294 -0.009185332 -0.003590734 -0.021343312
#> [16] -0.004122468 0.016588111 -0.001728851 0.015909188 -0.004188647
#> [21] 0.006121102 0.002350991 0.002984529 -0.006027265
#>
#> $L_Omega
#> [,1] [,2]
#> [1,] 1.0000000 0.0000000
#> [2,] 0.8171342 0.3833459
#>