MonolixSuite in R
Breadcrumbs

setIndividualLogitLimits

[Monolix] Set individual parameter distribution limits

Set the minimum and the maximum values for an individual parameter. Limits only apply to parameters with a "logitNormal" distribution. Call getIndividualParameterModel to get a list of the available parameters within the current project. The initial estimate of the parameter must be inside the limits, which can be set with setPopulationParameterInformation.

Usage

R
setIndividualLogitLimits(...)

Arguments

... Comma-separated pairs {parameterName = c((double)min,(double)max) } (see example)

See also

getIndividualParameterModel to see the current individual parameter model settings
setIndividualParameterModel to change the individual parameter model
getPopulationParameterInformation to see the parameter initial values
setPopulationParameterInformation to change the parameter initial values

The components of the individual parameter model can be updated individually:
setIndividualParameterDistribution to update just the individual parameter distributions
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)

setIndividualParameterDistribution(V = "logitNormal", ka = "logitNormal")
setPopulationParameterInformation(V_pop  = list(initialValue = 0.5))
setIndividualLogitLimits( V = c(0, 1), ka = c(-1, 2) )

getIndividualParameterModel()$limits
#> $ka
#> [1] -1  2
#> 
#> $V
#> [1] 0 1
#>