Read NLME model parameter estimates from a csv file

read_GPFFromCSV.Rd

Read NLME model parameter estimates from a csv file

read_GPFFromCSV(filename)

Arguments

filename

character denoting a path to a .csv file in the format of an estimates table described in <TODO: LINK TO BOOK CHAPTER>.

Value

an object of S3 class GPF. This is a named list with two named data.frame elements: 'estimates' and 'uncertainty_correlation'. Since the input is a .csv file containing only an estimates table, the uncertainty_correlation is set to an idenitity matrix.

See also

General Parameter Format

Other Parameter sampling: calcIndParamValues(), calcTypicalIndParamValues(), combineGPF(), generate_GPFFromIQRnlmeEst(), generate_GPFFromIQRnlmeProject(), generate_GPFFromProjectInfo(), generate_GPFFromProjectInfoList(), getCorMatrixUncertainty(), getCovMatrixIIV(), getCovMatrixUncertainty(), getNamesAllParameters(), getNamesCovariateParameters(), getNamesCovariates(), getNamesErrorParameters(), getNamesIIVCorrParameters(), getNamesIIVParameters(), getNamesModelParameters(), getParamEstimates(), getParamTransformationTypes(), imputeTYPEcol_GPF(), is_GPF(), is_IQRnlmeParamSpec(), read_GPFFromXLS(), sampleIDs(), sampleIndParamValues(), sampleParamFromUncertainty(), sampleRandomEffects(), sample_GPF(), select_FromGPF(), specifyParamSampling(), transformParamToNormal(), untransformParamFromNormal()

Other GPF: GPF(), addIIVCov_toGPF(), combineGPF(), export_GPF(), generate_GPFFromIQRnlmeEst(), generate_GPFFromIQRnlmeProject(), generate_GPFFromProjectInfo(), generate_GPFFromProjectInfoList(), imputeTYPEcol_GPF(), load_GPF(), read_GPFFromXLS(), sample_GPF(), select_FromGPF()

Author

Venelin Mitov (IntiQuan)

Examples

if (FALSE) { # \dontrun{
#See the examples for sampleIndParamValues:
?sampleIndParamValues
} # }