simpopmlx: Population parameters simulation
In MarcLavielle/mlxR: Simulation of Longitudinal Data

simpopmlx

R Documentation

Population parameters simulation

Description

Draw population parameters using the covariance matrix of the estimates.

Usage

simpopmlx(
  n = 1,
  project = NULL,
  fim = "needed",
  parameter = NULL,
  corr = NULL,
  kw.max = 100
)

Arguments

`n`	the number of vectors of population parameters (default = 1),
`project`	a Monolix project, assuming that the Fisher information Matrix was estimated by Monolix.
`fim`	the Fisher Information Matrix estimated by Monolix. fim="sa", "lin" (default="sa")
`parameter`	a data frame with a column ‘⁠pop.param⁠’ (no default), a column ‘⁠sd⁠’ (no default), possibly a column ‘⁠trans⁠’ (default ='N') and possibly columns ‘⁠lim.a⁠’ (default=0) and ‘⁠lim.b⁠’ (default=1). Only when project is not used.
`corr`	correlation matrix of the population parameters (default = identity). Only when project is not used.
`kw.max`	maximum number of trials for generating a positive definite covariance matrix (default = 100)

Details

See https://simulx.lixoft.com/mlxr-documentation/ for more details.

Examples

## Not run: 
project.file <- 'monolixRuns/theophylline1_project.mlxtran'  #relative path
pop1 <- simpopmlx(n=3, project=project.file)

## End(Not run)

MarcLavielle/mlxR documentation built on May 28, 2023, 4:25 p.m.