Sample NLME random effects given population parameter values describing the inter-individual variability distribution
sampleRandomEffects.RdSample NLME random effects given population parameter values describing the inter-individual variability distribution
sampleRandomEffects(
spec,
iivPopParamValues,
Nsamples = if (is_IQRnlmeParamSpec(spec)) spec$Nsamples else 1
)Arguments
- spec
a filename (character string) denoting the path to a GPF excel file, or a GPF object, or an IQRnlmeParamSpec object.
- iivPopParamValues
a data.frame with population parameter values describing the IIV distribution. The number of rows in this data.frame defines the number of populations for which random effects are to be sampled.
- Nsamples
integer denoting the number of individuals in a population. Note: in the case of
FLAG_SAMPLE=2, this value is used to specify the number of populations (seeNpop). Default:if(is_IQRnlmeParamSpec(obj)) obj$Nsamples else 1L.
Value
a data.frame of Nsamples*nrow(iivPopParamValues) rows and
columns ID.POP, ID and a column for each model parameter
defined in spec.
See also
Random sampling of NLME model parameters
Other Parameter sampling:
calcIndParamValues(),
calcTypicalIndParamValues(),
combineGPF(),
generate_GPFFromIQRnlmeEst(),
generate_GPFFromIQRnlmeProject(),
generate_GPFFromProjectInfoList(),
generate_GPFFromProjectInfo(),
getCorMatrixUncertainty(),
getCovMatrixIIV(),
getCovMatrixUncertainty(),
getNamesAllParameters(),
getNamesCovariateParameters(),
getNamesCovariates(),
getNamesErrorParameters(),
getNamesIIVCorrParameters(),
getNamesIIVParameters(),
getNamesModelParameters(),
getParamEstimates(),
getParamTransformationTypes(),
imputeTYPEcol_GPF(),
is_GPF(),
is_IQRnlmeParamSpec(),
read_GPFFromCSV(),
read_GPFFromXLS(),
sampleIDs(),
sampleIndParamValues(),
sampleParamFromUncertainty(),
sample_GPF(),
select_FromGPF(),
specifyParamSampling(),
transformParamToNormal(),
untransformParamFromNormal()
Examples
if (FALSE) {
#See the examples for sampleIndParamValues:
?sampleIndParamValues
}