setCovariateModel
[Monolix] Set covariate model
Set which are the covariates influencing individual parameters present in the project.
Call getIndividualParameterModel to get a list of the individual parameters present within the current project.
and getCovariateInformation to know which are the available covariates for a given level of variability and a given individual parameter.
Usage
setCovariateModel(...)Arguments
- ...
A list of comma-separated pairs {parameterName = { covariateName = (logical)isIncluded, ...} } (see example)
See also
getCovariateInformation to see available covariatesgetIndividualParameterModel to see the current individual parameter model settings 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 setCorrelationBlocks to update just the correlation structure
Examples
initializeLixoftConnectors("monolix")
loadProject( file.path(getDemoPath(), "1.creating_and_using_models", "1.1.libraries_of_models", "theophylline_project.mlxtran") )
setCovariateModel( ka = c( SEX = TRUE, WEIGHT = TRUE),
V = c( WEIGHT = TRUE ) )
getIndividualParameterModel()$covariateModel
#> $ka
#> SEX WEIGHT
#> TRUE TRUE
#>
#> $V
#> SEX WEIGHT
#> FALSE TRUE
#>
#> $Cl
#> SEX WEIGHT
#> FALSE FALSE
#>