# NOT RUN {
library(nlmixr)
pheno <- function() {
# Pheno with covariance
ini({
tcl <- log(0.008) # typical value of clearance
tv <- log(0.6) # typical value of volume
## var(eta.cl)
eta.cl + eta.v ~ c(1,
0.01, 1) ## cov(eta.cl, eta.v), var(eta.v)
# interindividual variability on clearance and volume
add.err <- 0.1 # residual variability
})
model({
cl <- exp(tcl + eta.cl) # individual value of clearance
v <- exp(tv + eta.v) # individual value of volume
ke <- cl / v # elimination rate constant
d/dt(A1) = - ke * A1 # model differential equation
cp = A1 / v # concentration in plasma
cp ~ add(add.err) # define error model
})
}
fit.s <- nlmixr(pheno, pheno_sd, "saem")
## Save output information into a word document
nmDocx(fit.s)
# }
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