VPC simulation
Usage
vpcSim(
object,
...,
keep = NULL,
n = 300,
pred = FALSE,
seed = 1009,
nretry = 50,
minN = 10,
normRelated = TRUE
)Arguments
- object
This is the nlmixr2 fit object
- ...
Other arguments sent to `rxSolve()`
- keep
Column names to keep in the output simulated dataset
- n
Number of simulations
- pred
Should predictions be added to the simulation
- seed
Seed to set for the VPC simulation
- nretry
Number of times to retry the simulation if there is NA values in the simulation
- minN
With retries, the minimum number of studies to restimulate (by default 10)
- normRelated
should the VPC style simulation be for normal related variables only
Examples
# \donttest{
if (rxode2parse::.linCmtSens()) {
one.cmt <- function() {
ini({
## You may label each parameter with a comment
tka <- 0.45 # Log Ka
tcl <- log(c(0, 2.7, 100)) # Log Cl
## This works with interactive models
## You may also label the preceding line with label("label text")
tv <- 3.45; label("log V")
## the label("Label name") works with all models
eta.ka ~ 0.6
eta.cl ~ 0.3
eta.v ~ 0.1
add.sd <- 0.7
})
model({
ka <- exp(tka + eta.ka)
cl <- exp(tcl + eta.cl)
v <- exp(tv + eta.v)
linCmt() ~ add(add.sd)
})
}
fit <- nlmixr(one.cmt, theo_sd, est="focei")
head(vpcSim(fit, pred=TRUE))
}
#>
#>
#>
#>
#> ℹ parameter labels from comments will be replaced by 'label()'
#> → Calculating residuals/tables
#> ✔ done
#> → compress origData in nlmixr2 object, save 5952
#> → compress parHistData in nlmixr2 object, save 4856
#>
#>
#> sim.id id time ipred sim tad nlmixrRowNums rxLambda rxYj rxLow
#> 1 1 1 0.00 0.000000 0.9532212 0.00 2 1 2 0
#> 2 1 1 0.25 10.023191 10.1820670 0.25 3 1 2 0
#> 3 1 1 0.57 11.209259 11.4075894 0.57 4 1 2 0
#> 4 1 1 1.12 10.704906 10.3122321 1.12 5 1 2 0
#> 5 1 1 2.02 9.729745 10.6855880 2.02 6 1 2 0
#> 6 1 1 3.82 8.034879 8.4970388 3.82 7 1 2 0
#> rxHi pred
#> 1 1 0.000000
#> 2 1 3.270856
#> 3 1 5.839073
#> 4 1 7.868363
#> 5 1 8.501092
#> 6 1 7.615773
# }