vpcPlotTad: VPC based on ui model

In nlmixr2: Nonlinear Mixed Effects Models in Population PK/PD

VPC based on ui model

Description

VPC based on ui model

Usage

vpcPlotTad(..., idv = "tad")

Arguments

...	Additional arguments passed to nlmixr2plot::vpcPlotTad().
idv	Name of independent variable. For vpcPlot() and vpcCens() the default is "time" for vpcPlotTad() and vpcCensTad() this is "tad"

Value

Simulated dataset (invisibly)

Author(s)

Matthew L. Fidler

Examples

one.cmt <- function() {
 ini({
   tka <- 0.45; label("Ka")
   tcl <- log(c(0, 2.7, 100)); label("Cl")
   tv <- 3.45; label("V")
   eta.ka ~ 0.6
   eta.cl ~ 0.3
   eta.v ~ 0.1
   add.sd <- 0.7; label("Additive residual error")
 })
 model({
   ka <- exp(tka + eta.ka)
   cl <- exp(tcl + eta.cl)
   v <- exp(tv + eta.v)
   linCmt() ~ add(add.sd)
 })
}

fit <-
  nlmixr2est::nlmixr(
    one.cmt,
    data = nlmixr2data::theo_sd,
    est = "saem",
    control = list(print = 0)
  )

vpcPlot(fit)

nlmixr2 documentation built on April 4, 2025, 2:36 a.m.