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reglhmm.eglhmm <-function(x,missFrac=NULL,...) {
#
# The "eglhmm" method for reglhmm(). Simulates data from a fitted
# hidden generalised linear Markov model.
#
# Keep the kontrast konsistent. (Note that simMlt() uses
# the contrast in forming the model matrix.)
contrast <- x$contrast
contr <- c(paste("contr",contrast,sep="."),"contr.poly")
oldcon <- options(contrasts=contr)
on.exit(options(oldcon))
ispd <- x$ispd
tpm <- x$tpm
phi <- x$phi
Rho <- x$Rho
sigma <- x$sigma
fmla <- x$formula
resp <- x$response
data <- x$data
distr <- x$distr
size <- x$size
ntop <- x$ntop
nbot <- x$nbot
if(distr=="Dbd") {
zeta <- nbot==0
} else zeta <- NULL
if(is.null(missFrac)) missFrac <- x$missFrac
fep <- list(...)[["fep"]]
simMlt(fmla,resp,distr,data,ispd,tpm,phi,Rho,sigma,size,ntop,zeta,missFrac,fep)
}
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