nlmixr (version 2.0.7)

nlme_lin_cmpt: Fit nlme-based linear compartment mixed-effect model using closed form solution

Description

'nlme_lin_cmpt' fits a linear one to three compartment model with either first order absorption, or i.v. bolus, or i.v. infusion. A user specifies the number of compartments, route of drug administrations, and the model parameterization. `nlmixr` supports the clearance/volume parameterization and the micro constant parameterization, with the former as the default. Specification of fixed effects, random effects and initial values follows the standard nlme notations.

Usage

nlme_lin_cmpt(
  dat,
  parModel,
  ncmt,
  oral = TRUE,
  infusion = FALSE,
  tlag = FALSE,
  parameterization = 1,
  parTrans = .getParfn(oral, ncmt, parameterization, tlag),
  mcCores = 1,
  ...
)
nlmeLinCmpt(
  dat,
  parModel,
  ncmt,
  oral = TRUE,
  infusion = FALSE,
  tlag = FALSE,
  parameterization = 1,
  parTrans = .getParfn(oral, ncmt, parameterization, tlag),
  mcCores = 1,
  ...
)
nlmeLinCmt(
  dat,
  parModel,
  ncmt,
  oral = TRUE,
  infusion = FALSE,
  tlag = FALSE,
  parameterization = 1,
  parTrans = .getParfn(oral, ncmt, parameterization, tlag),
  mcCores = 1,
  ...
)

Arguments

dat

data to be fitted

parModel

list: model for fixed effects, randoms effects and initial values using nlme-type syntax.

ncmt

numerical: number of compartments: 1-3

oral

logical

infusion

logical

tlag

logical

parameterization

numerical: type of parameterization, 1=clearance/volume, 2=micro-constants

parTrans

function: calculation of PK parameters

mcCores

number of cores used in fitting (only for Linux)

...

additional nlme options

Value

A nlmixr nlme fit object

Examples

# NOT RUN {
library(nlmixr)

specs <- list(fixed=lKA+lCL+lV~1, random = pdDiag(lKA+lCL~1),
              start=c(lKA=0.5, lCL=-3.2, lV=-1))
fit <- nlme_lin_cmpt(theo_md, par_model=specs, ncmt=1, verbose=TRUE)
#plot(augPred(fit,level=0:1))
summary(fit)

# }