monolix2rx {monolix2rx}R Documentation

Translate a monolix file to rxode2

Description

Translate a monolix file to rxode2

Usage

monolix2rx(
  mlxtran,
  update = TRUE,
  thetaMatType = c("sa", "lin"),
  sd = 1,
  cor = 1e-05,
  theta = 0.5,
  ci = 0.95,
  sigdig = 3,
  envir = parent.frame()
)

Arguments

mlxtran

file name for mlxtran to translate to rxode2

update

is a boolean that represents if the final parameter estimates should be used for the translation (when present)

thetaMatType

This lists the preferred source for thetaMat covariance matrix. By default it is sa for simulated annealing, though you could use lin for linearized covariance calculation. If only one is present, then use whatever is present

sd

Default standard deviation for between subject variability/inter-occasion variability that are missing.

cor

Default correlation for missing correlations estimate

theta

default population estimate

ci

confidence interval for validation, by default 0.95

sigdig

number of significant digits for validation, by default 3

envir

represents the environment used for evaluating the corresponding rxode2 function

Value

rxode2 model

Author(s)

Matthew L. Fidler

Examples

# First load in the model; in this case the theo model
# This is modified from the Monolix demos by saving the model
# File as a text file (hence you can access without model library)
# setup.
#
# This example is also included in the monolix2rx package, so
# you refer to the location with `system.file()`:

pkgTheo <- system.file("theo", package="monolix2rx")

rx <- monolix2rx(file.path(pkgTheo, "theophylline_project.mlxtran"))

pkgCov <- system.file("cov", package="monolix2rx")

rx <- monolix2rx(file.path(pkgCov, "warfarin_covariate3_project.mlxtran"))

rx

[Package monolix2rx version 0.0.4 Index]