runConditionalDistributionSampling
[Monolix] Sampling from the conditional distribution
Estimate the conditional distribution which can be sampled from (i.e. for diagnostic plots) or used to estimate
individual parameters (i.e. the conditional mean). Note that the population
parameters must be already estimated (i.e. by calling runPopulationParameterEstimation).
Usage
runConditionalDistributionSampling()Details
The associated method keyword is "conditionalMean" when calling getEstimatedIndividualParameters, getEtaShrinkage,
or getEstimatedRandomEffects.
See also
getEstimatedIndividualParameters to get the mean of the conditional distribution runPopulationParameterEstimation to estimate population parameters runConditionalModeEstimation to estimate EBEs runStandardErrorEstimation to estimate standard errors of the population parametersrunLogLikelihoodEstimation to estimate the log-likelihood of the model runScenario to run multiple estimation tasks
Examples
initializeLixoftConnectors("monolix")
loadProject(file.path(getDemoPath(), "1.creating_and_using_models", "1.1.libraries_of_models", "theophylline_project.mlxtran"))
runPopulationParameterEstimation()
runConditionalDistributionSampling()
indivParams_condMean = getEstimatedIndividualParameters(method = "conditionalMean")