Nothing
test_that("qmat_from_tmat", {
#Simple survival
tmat <- mstate::transMat(x = list( c(2), c() ))
qmat <- qmat_from_tmat(tmat)
e_res_simple <- rbind(c(0, 0.1), c(0, 0))
expect_true(all(e_res_simple == qmat))
#Illness-death
tmat <- mstate::transMat(x = list(c(2, 3), c(3), c()))
qmat <- qmat_from_tmat(tmat)
e_res_id <- rbind(c(0, 0.1, 0.1), c(0, 0, 0.1),
c(0, 0, 0))
expect_true(all(e_res_id == qmat))
})
test_that("tmat_from_msm", {
#Extract tmat from ID msm
eval_times <- function(n_obs, stop_time){
cumsum( c( 0, runif( n_obs-1, 0, 2*(stop_time-4)/(n_obs-1) ) ) )
}
set.seed(2)
sim_dat <- sim_id_weib(n = 5, n_obs = 6, stop_time = 15, eval_times = eval_times,
start_state = "stable", shape = c(1, 1, 1), scale = c(5, 10, 1))
tmat <- mstate::trans.illdeath()
sim_dat <- remove_redundant_observations(sim_dat, tmat)
msm_mod <- msm::msm(state ~ time, subject = id, data = sim_dat,
qmatrix = qmat_from_tmat(tmat), gen.inits = TRUE)
tmat_msm <- tmat_from_msm(msm_mod)
expect_true(all(tmat_msm == tmat, na.rm = TRUE))
})
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