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#####################################################################
### The etm machinery
### Arthur Allignol <arthur.allignol@uni-ulm.de
#####################################################################
.etm <- function(entry,
exit,
from,
to,
nstate,
s,
t,
covariance,
const_modif) {
times <- sort(unique(exit[to != 0]))
times <- times[times > s & times <= t]
if (length(times) == 0) {
zzz <- list()
zzz$est <- array(diag(1, nrow = nstate, nstate), dim = list(nstate, nstate, 1))
zzz$dna <- array(matrix(0, nrow = nstate, ncol = nstate), dim = list(nstate, nstate, 1))
zzz$n.risk <- zzz$time <- zzz$n.event <- NULL
return(zzz)
} else {
c_modif <- matrix(const_modif, length(times), nstate, byrow = TRUE)
zzz <- .Call("gen_msm", times, entry, exit, from, to, nstate, c_modif)
}
if (covariance) {
cov_etm <- .Call("cov_aj",
zzz$time,
zzz$est,
zzz$n.risk,
zzz$n.event,
zzz$dna)
zzz$cov <- cov_etm
}
zzz
}
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