runPopulationParameterEstimation

Estimate the population parameters with the SAEM algorithm. The initial values of the population parameters can be accessed by calling getPopulationParameterInformation and customized with setPopulationParameterInformation.
The estimated population parameters are available using getEstimatedPopulationParameters function.

Usage

        R
    
runPopulationParameterEstimation()

Arguments

parameters: [optional] (data.frame) specify initial values per individual. A data.frame with column id and columns for each parameter, similar to that returned by getEstimatedIndividualParameters.

Details

The associated method keyword is "saem" when calling getEstimatedIndividualParameters, getEtaShrinkage, or getEstimatedRandomEffects.

See also

getEstimatedPopulationParameters to get the estimated population parameters
getPopulationParameterInformation to get the initial values
setPopulationParameterInformation to set the initial values
runConditionalModeEstimation to estimate EBEs
runConditionalDistributionSampling to estimate the conditional distribution
runStandardErrorEstimation to estimate standard errors of the population parameters
runLogLikelihoodEstimation to estimate the log-likelihood of the model
runScenario to run multiple estimation tasks

Examples

        R
    
initializeLixoftConnectors("monolix")
loadProject(file.path(getDemoPath(), "1.creating_and_using_models", "1.1.libraries_of_models", "theophylline_project.mlxtran"))
runPopulationParameterEstimation()
popParams <- getEstimatedPopulationParameters()

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