Raue, Bioinformatics 31(21), 2015↩︎
Kaschek, dMod, 2016 (https://cran.r-project.org/package=dMod)↩︎

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 spec and, eventually ID.POP and ID.
columnNames: a character vector specifying the parameter names (columns in values) which should be untransformed. Default: setdiff(names(values), c("ID.POP", "ID")).

Value

a data.frame with the same columns as values.

See also

Random sampling of NLME model parameters

General Parameter Format

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(), sampleRandomEffects(), sample_GPF(), select_FromGPF(), specifyParamSampling(), transformParamToNormal()

Author

Venelin Mitov (IntiQuan)