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Rsmlx (version 2023.1.5)

R Speaks 'Monolix'

Description

Provides methods for model building and model evaluation of mixed effects models using 'Monolix' . 'Monolix' is a software tool for nonlinear mixed effects modeling that must have been installed in order to use 'Rsmlx'. Among other tasks, 'Rsmlx' provides a powerful tool for automatic PK model building, performs statistical tests for model assessment, bootstrap simulation and likelihood profiling for computing confidence intervals. 'Rsmlx' also proposes several automatic covariate search methods for mixed effects models.

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Version

Install

install.packages('Rsmlx')

Monthly Downloads

635

Version

2023.1.5

License

BSD_2_clause + file LICENSE

Maintainer

Frano Mihaljevic

Last Published

October 17th, 2023

Functions in Rsmlx (2023.1.5)

getSimulatedPredictions

Get simulated predictions
getSimulatedResiduals

Get simulated residuals
confintmlx

Confidence intervals for population parameters
covariateSearch

Covariate model building
buildVar

Automatic model variance building
buildmlx

Automatic statistical model building
getEstimatedPredictions

Get estimated predictions
getEstimatedCovarianceMatrix

Get estimated covariance and correlation matrices
RsmlxDemo1.project

Monolix project for warfarin PK - 1
getEstimatedIndividualParameters2

Get estimated individual and population parameters
RsmlxDemo2.project

Monolix project for warfarin PK - 2
getEstimatedResiduals

Get estimated residuals
whichPKmodel

Find a Monolix PK model
writeDataSmlx

Write Simulx Dataset
initRsmlx

Initialize Rsmlx library
pkbuild

Automatic PK model building
bootmlx

Bootstrapping - case resampling
pkpopini

Compute initial population PK parameters
testmlx

Statistical tests for model assessment
warfarin.data

warfarin PKPD data
readDatamlx

Read formatted data file
buildAll

Automatic complete statistical model building
resMonolix

Monolix results
setSettings

Easy tuning of the settings of a Monolix project