mlxR 3.2
Download the R scripts and Mlxtran codes used for this user guide
Simulation
simulx.R – compute predictions and sample data from Mlxtran, R and PharmML models
pkmodel.R – compute easily basic pharmacokinetics (PK) models
simpopmlx.R – Simulate uncertainty/variability on the population parameters
exposure.R – Compute the area under the curve, the maximum and minimum values of a funtion of time over an interval, or at steady state.
monolix2simulx.R – convert a Monolix Project into an executable R script for the simulator Simulx
Model visualization
shinymlx.R – create an interactive Shiny application for longitudinal data
mlxplore.R – explore and visualize Mlxtran and pharmML models with the Mlxplore software
Data visualization
prctilemlx.R – compute and display percentiles of the empiricial distribution of longitudinal data
kmplotmlx.R – plot empirical survival functions using the Kaplan Meier estimate
catplotmlx.R – Plot the empirical distribution of longitudinal categorical data
Miscellaneous
statmlx.R – Compute statistical summaries (mean, quantile, variance, survival rate,…)
readDatamlx.R – Read data in a Monolix/NONMEM format or read a Monolix project
writeDatamlx.R – Write data in a single file or in several files as tables
inlineModel.R – Utility function for inline creation of a model
inlineDataframe.R – Utility function for inline creation of a data frame
pharmml2mlxtran.R – Translate PharmML model into Mlxtran model