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getIndividualParameterModel

Get a summary of the individual parameter model. The available information is the following:

  • name: (character) vector of names of the individual parameters

  • distribution: (character) vector giving the probability distribution of each parameter. The distribution can be one of "normal", "logNormal", or "logitNormal".

  • limits: (double) a list giving the distribution limits for each parameter with a "logitNormal" distribution

  • formula: (character) the formula used for each parameter

  • variability: (logical) a list giving, for each variability level, a vector with TRUE for each individual parameter that has variability or FALSE if not.

  • covariateModel: (logical) a list giving, for each individual parameter, a vector with TRUE for each covariate that is included in the model for that parameter or FALSE if not. If there are no covariates in the model, this is an empty list.

  • correlationBlocks: (character) a list with, for each variability level, a list of correlations, where each correlation block is a vector of the parameter names included in that correlation. If there are no correlations in the model, this is omitted.

Usage

R
getIndividualParameterModel()

Value

A list containing the individual parameter model elements

See also

setIndividualParameterModel to change the individual parameter model

The components of the individual parameter model can be updated individually:
setIndividualParameterDistribution to update just the individual parameter distributions
setIndividualLogitLimits to update just the limits for parameters with a logit distribution
setIndividualParameterVariability to update just the individual parameter variability
setCovariateModel to update just the covariate model
setCorrelationBlocks to update just the correlation structure

Examples

R
initializeLixoftConnectors("monolix")
project_file <- file.path(getDemoPath(), "5.models_for_individual_parameters", "5.1.probability_distribution", "warfarin_distribution3_project.mlxtran")
loadProject(project_file)
indivModel <- getIndividualParameterModel()
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