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Rsmlx (version 2023.1.1)

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

517

Version

2023.1.1

License

BSD_2_clause + file LICENSE

Maintainer

Frano Mihaljevic

Last Published

June 14th, 2023

Functions in Rsmlx (2023.1.1)

resMonolix

Monolix results
setSettings

Easy tuning of the settings of a Monolix project
whichPKmodel

Find a Monolix PK model
writeDataSmlx

Write Simulx Dataset
readDatamlx

Read formatted data file
testmlx

Statistical tests for model assessment
getEstimatedResiduals

Get estimated residuals
pkpopini

Compute initial population PK parameters
warfarin.data

warfarin PKPD data
getEstimatedPredictions

Get estimated predictions
RsmlxDemo2.project

Monolix project for warfarin PK - 2
bootmlx

Bootstrapping - case resampling
confintmlx

Confidence intervals for population parameters
getEstimatedIndividualParameters2

Get estimated individual and population parameters
buildVar

Automatic model variance building
covariateSearch

Covariate model building
getEstimatedCovarianceMatrix

Get estimated covariance and correlation matrices
buildmlx

Automatic statistical model building
buildAll

Automatic complete statistical model building
RsmlxDemo1.project

Monolix project for warfarin PK - 1
initRsmlx

Initialize Rsmlx library
getSimulatedPredictions

Get simulated predictions
getSimulatedResiduals

Get simulated residuals
pkbuild

Automatic PK model building