getIndividualParameterModel
[Monolix] Get individual parameter model
Get a summary of the individual parameter model. The available information is the following:
name
: (character) vector of names of the individual parametersdistribution
: (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"
distributionformula
: (character) the formula used for each parametervariability
: (logical) a list giving, for each variability level, a vector withTRUE
for each individual parameter that has variability orFALSE
if not.covariateModel
: (logical) a list giving, for each individual parameter, a vector withTRUE
for each covariate that is included in the model for that parameter orFALSE
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
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
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()