library(BDAepimodel)
context("Constructing the matrix of emission probabilities")
test_that("Emission probabilities are computed correctly", {
set.seed(52787)
popsize <- 5
r_meas_process <- function(state, meas_vars, params){
rbinom(n = nrow(state), size = state[,meas_vars], prob = params["rho"])
}
d_meas_process <- function(state, meas_vars, params, log = TRUE) {
dbinom(x = state[, paste(meas_vars, "_observed", sep="")], size = state[, paste(meas_vars, "_augmented", sep = "")], prob = params["rho"], log = log)
}
epimodel <- init_epimodel(obstimes = seq(0, 10, by = 0.5),
popsize = popsize,
states = c("S", "I", "R"),
params = c(beta = 0.9, mu = 1, rho = 0.5, S0 = 0.5, I0 = 0.5, R0 = 0),
rates = c("beta * I", "mu"),
flow = matrix(c(-1, 1, 0, 0, -1, 1), ncol = 3, byrow = T),
meas_vars = "I",
r_meas_process = r_meas_process,
d_meas_process = d_meas_process)
epimodel <- simulate_epimodel(epimodel = epimodel, lump = TRUE, trim = TRUE)
epimodel <- prepare_epimodel(epimodel)
epimodel$emission_mat <- build_emission_mat(emission_mat = epimodel$emission_mat, epimodel = epimodel)
expect_equal(unname(epimodel$emission_mat["S",]), dbinom(epimodel$obs_mat[,"I_observed"], epimodel$obs_mat[,"I_augmented"], 0.5))
expect_equal(unname(epimodel$emission_mat["R",]), dbinom(epimodel$obs_mat[,"I_observed"], epimodel$obs_mat[,"I_augmented"], 0.5))
expect_equal(unname(epimodel$emission_mat["I",]), dbinom(epimodel$obs_mat[,"I_observed"], epimodel$obs_mat[,"I_augmented"] + 1, 0.5))
})
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