nlmixr (version 1.1.0-9)

vpc_nlmixr_nlme: Visual predictive check (VPC) for nlmixr nlme objects

Description

Do visual predictive check (VPC) plots for nlme-based non-linear mixed effect models

Usage

vpc_nlmixr_nlme(fit, nsim = 100, condition = NULL, ...)
vpcNlmixrNlme(fit, nsim = 100, condition = NULL, ...)
# S3 method for nlmixrNlme
vpc(sim, ...)

Arguments

fit

nlme fit object

nsim

number of simulations

condition

conditional variable

...

Additional arguments

sim

this is usually a data.frame with observed data, containing the independent and dependent variable, a column indicating the individual, and possibly covariates. E.g. load in from NONMEM using read_table_nm. However it can also be an object like a nlmixr or xpose object

Examples

# NOT RUN {
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)
vpc(fit, nsim = 100, condition = NULL)
# }

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