Transfrom model parameter values from a normal to their original scale, based on a specified transformation type
untransformParamFromNormal.Rd
Transfrom model parameter values from a normal to their original scale, based on a specified transformation type
untransformParamFromNormal( spec, values, columnNames = setdiff(names(values), c("ID.POP", "ID")) )
Arguments
spec | a filename (character string) denoting the path to a GPF excel file, or a GPF object, or an IQRnlmeParamSpec object. |
---|---|
values | a data.frame with columns among model parameter names in
|
columnNames | a character vector specifying the parameter names (columns in |
Value
a data.frame with the same columns as values
.
See also
Random sampling of NLME model parameters
Other functions in the NLME parameter sampling API:
calcIndParamValues()
,
calcTypicalIndParamValues()
,
combineGPF()
,
generate_GPFFromIQRnlmeProject()
,
generate_GPFFromProjectInfoList()
,
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()