From multiple projectInfos, generate one combined GPF
generate_GPFFromProjectInfoList.Rd
From multiple projectInfos, generate one combined GPF
generate_GPFFromProjectInfoList( projectInfoList, filename = NULL, FLAGdropErrParams = TRUE )
Arguments
projectInfoList | list(GPFprojectInfo,...) |
---|---|
filename | file.path for final xls-file |
FLAGdropErrParams | Flag whether to drop error parameters such as "error_PROP1" (defaults to TRUE) |
Value
See also
Other functions in the NLME parameter sampling API:
calcIndParamValues()
,
calcTypicalIndParamValues()
,
combineGPF()
,
generate_GPFFromIQRnlmeProject()
,
generate_GPFFromProjectInfo()
,
getCorMatrixUncertainty()
,
getCovMatrixIIV()
,
getCovMatrixUncertainty()
,
getNamesAllParameters()
,
getNamesCovariateParameters()
,
getNamesErrorParameters()
,
getNamesIIVCorrParameters()
,
getNamesIIVParameters()
,
getNamesModelParameters()
,
getParamEstimates()
,
getParamTransformationTypes()
,
imputeTYPEcol_GPF()
,
is.GPF()
,
is.IQRnlmeParamSpec()
,
read_GPFFromCSV()
,
read_GPFFromXLS()
,
sampleIDs()
,
sampleIndParamValues()
,
sampleParamFromUncertainty()
,
sampleRandomEffects()
,
specifyParamSampling()
,
transformParamToNormal()
,
untransformParamFromNormal()
Other GPF generating and I/O:
GPF()
,
addIIVCov_toGPF()
,
combineGPF()
,
export_GPF()
,
generate_GPFFromIQRnlmeProject()
,
generate_GPFFromProjectInfo()
,
load_GPF()
,
read_GPFFromCSV()
,
read_GPFFromXLS()
Examples
if (FALSE) { projPath <- system.file("examples/GPFExamples/project3_Epo", package = "IQRtools") projectInfo <- GPFprojectInfo(projPath) # Duplicate the model, add _X1 as suffix pars <- getPopParameters_IQRnlmeProject(projPath) projectInfo_x1 <- GPFprojectInfo(projPath, indPars_select = setNames(names(pars), paste0(names(pars), "_X1"))) xls_fromTwoProjects <- generate_GPFFromProjectInfoList(list(projectInfo, projectInfo_X1)) }