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MonolixSuite in R
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Main
PKanalix
Monolix
Simulx
R API
Getting Started
Tutorials
Main
Overview of R packages
Package "lixoftConnectors"
Installation and initialization
Errors and warnings
Examples
Load and run a Monolix project
Basic PKanalix workflow
Basic Simulx workflow
Covariate search
Convergence assessment
Profile likelihood
Sensitivity analysis
Bayesian individual dynamics predictions
Advanced plot manipulation
VPCs for every event for repeated time-to-event data
Simulating clinical trials to assess study power across sample sizes
Plotting untransformed observations and predictions
Creating forest plots
Dynamic individual doses
Reference
addAdditionalCovariate
addContinuousTransformedCovariate
addCustomNCAParametersFromPreferences
addGroup
addIndividualBlock
addMixture
applyFilter
computeBins
computeChartsData
computePredictions
createCustomNCAParameter
createFilter
createNCARatio
defineCovariateElement
defineEndpoint
defineIndividualElement
defineOccasionElement
defineOutcome
defineOutputElement
definePopulationElement
defineRegressorElement
defineTreatmentElement
deleteAdditionalCovariate
deleteCustomNCAParameter
deleteElement
deleteEndpoint
deleteFilter
deleteNCARatio
deleteOccasionElement
deleteOutcome
editFilter
exportChartDataSet
exportProject
exportSimulatedData
formatData
generateReport
getAddLines
getAssessmentResults
getAssessmentSettings
getAvailableData
getBioequivalenceResults
getBioequivalenceSettings
getBootstrapResults
getBootstrapSettings
getCACost
getCAData
getCAIndividualParameters
getCAInitialValues
getCAParametersByAutoInit
getCAParameterStatistics
getCAResultsStratification
getCASettings
getChartsData
getConditionalDistributionSamplingSettings
getConditionalModeEstimationSettings
getConsoleMode
getContinuousObservationModel
getCorrelationOfEstimates
getCovariateElements
getCovariateInformation
getCustomNCAParameters
getData
getDataSettings
getDemoPath
getEndpoints
getEndpointsResults
getEstimatedConfidenceIntervals
getEstimatedIndividualParameters
getEstimatedLogLikelihood
getEstimatedPopulationParameters
getEstimatedRandomEffects
getEstimatedStandardErrors
getEtaShrinkage
getFixedEffectsByAutoInit
getFormatting
getGeneralSettings
getGroupComparisonSettings
getGroupRemaining
getGroups
getIndividualElements
getIndividualParameterModel
getInterpretedData
getLastRunStatus
getLaunchedTasks
getLibraryModelContent
getLibraryModelName
getLixoftConnectorsState
getLixoftEnvInfo
getLogLikelihoodEstimationSettings
getMapping
getMCMCSettings
getModelBuildingResults
getModelBuildingSettings
getNbReplicates
getNCAConcentrations
getNCAConcentrationsSettings
getNCAData
getNCAIndividualParameters
getNCAIndividualRatios
getNCAParameterStatistics
getNCARatios
getNCARatioStatistics
getNCAResultsStratification
getNCASettings
getObservationInformation
getOccasionElements
getOutcomes
getOutputElements
getPlotPreferences
getPointsIncludedForLambdaZ
getPopulationElements
getPopulationParameterEstimationSettings
getPopulationParameterInformation
getPreferences
getProjectSettings
getRegressorElements
getRegressorsSettings
getResultsStratificationGroups
getSAEMiterations
getSameIndividualsAmongGroups
getSamplingMethod
getScenario
getSharedIds
getSimulatedIndividualParameters
getSimulatedRandomEffects
getSimulationResults
getStandardErrorEstimationSettings
getStructuralModel
getTests
getTreatmentElements
getTreatmentsInformation
getVariabilityLevels
importProject
initializeLixoftConnectors
isProjectLoaded
lixoftDisplay
loadProject
newProject
plotBEConfidenceIntervals
plotBESequenceByPeriod
plotBESubjectByFormulation
plotBivariateDataViewer
plotBlqPredictiveCheck
plotCAIndividualFits
plotCAObservationsVsPredictions
plotCAParametersCorrelation
plotCAParametersDistribution
plotCAParametersVsCovariates
plotCovariates
plotImportanceSampling
plotIndividualFits
plotMCMC
plotNCAData
plotNCAIndividualFits
plotNCAParametersCorrelation
plotNCAParametersDistribution
plotNCAParametersVsCovariates
plotNpc
plotObservationsVsPredictions
plotObservedData
plotParametersDistribution
plotParametersVsCovariates
plotPredictionDistribution
plotRandomEffectsCorrelation
plotResidualsDistribution
plotResidualsScatterPlot
plotSaem
plotStandardizedRandomEffectsDistribution
plotVpc
printOutcomesEndpoints
printSimulationSetup
removeCovariate
removeFilter
removeGroup
removeGroupElement
renameAdditionalCovariate
renameFilter
renameGroup
resetPlotPreferences
runAssessment
runBioequivalenceEstimation
runBootstrap
runCAEstimation
runConditionalDistributionSampling
runConditionalModeEstimation
runEndpoints
runEstimation
runLogLikelihoodEstimation
runModelBuilding
runNCAEstimation
runPopulationParameterEstimation
runScenario
runSimulation
runStandardErrorEstimation
saveProject
selectData
setAddLines
setAutocorrelation
setBioequivalenceSettings
setCAInitialValues
setCAResultsStratification
setCASettings
setConditionalDistributionSamplingSettings
setConditionalModeEstimationSettings
setConsoleMode
setCorrelationBlocks
setCovariateModel
setData
setDataSettings
setErrorModel
setGeneralSettings
setGroupComparisonSettings
setGroupElement
setGroupRemaining
setGroupSize
setIndividualLogitLimits
setIndividualParameterDistribution
setIndividualParameterModel
setIndividualParameterVariability
setInitialEstimatesToLastEstimates
setLogLikelihoodEstimationSettings
setMapping
setMCMCSettings
setNbReplicates
setNCAConcentrationsSettings
setNCAResultsStratification
setNCASettings
setObservationDistribution
setObservationLimits
setPlotPreferences
setPopulationParameterEstimationSettings
setPopulationParameterInformation
setPreferences
setProjectSettings
setRegressorsSettings
setResultsStratificationGroups
setSameIndividualsAmongGroups
setSamplingMethod
setScenario
setSharedIds
setStandardErrorEstimationSettings
setStructuralModel
shareProject
Documentation of older versions
MonolixSuite and R on different machines
Package "Rsmlx"
Installation instructions
Release notes
Reference
pkbuild
confintmlx
buildVar
buildAll
Package "RsSimulx"
Installation instructions
Release notes
Reference
simulx
prctilemlx
Package "mlxDesignEval"
mlxDesignEval examples
Comparison to popED
Package "conc-QTc"
Download and Installation
Introduction to conc-QTc analyses
Conc-QTc modeling and implementation
R functions documentation
process_QTcData()
generateQTcProject()
generateAllQTcProjects()
Report QTc_quarto_allModels.qmd
conc-QTc examples
Quinidine: crossover with placebo and drug periods
Vanoxerine: identification of a delay
Ranolazine: parallel design
No placebo and time matched baseline
Multi-Day QTc Studies
Package "mlxModelFinder"
Parallel Execution
Going Beyond the Built-in Model Libraries
AI Generator of Custom Libraries
Example: Implementing a custom cost function
Changelog
Deprecated packages
Package "mlxR"
Breadcrumbs
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Reference
simulx
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