Get parameter estimate values from a IQRnlmeParamSpec object.
getParamEstimates.Rd
Get parameter estimate values from a IQRnlmeParamSpec object.
getParamEstimates(obj, Npop = 1L)
Arguments
Value
a data.frame of Npop
(identical) rows with columns ID.POP
and parameter
value columns as follows:
- X,Y...:
estimates for model parameters X,Y...
- omega(X),omega(Y)...:
IIV estimates for model parameters X,Y,...
- corr(X,Y),...:
IIV correlation estimates for model parameter pairs.
- beta_X(COVRT1),beta_Y(COVRT2),...:
Covariate coefficient estimates.
- error_PROP1,...:
Residual error estimates.
Details
This function has the same output format (data.frame with the same column names and
number of rows) as sampleParamFromUncertainty
.
See also
Random sampling of NLME model parameters
Other Parameter sampling:
calcIndParamValues()
,
calcTypicalIndParamValues()
,
combineGPF()
,
generate_GPFFromIQRnlmeEst()
,
generate_GPFFromIQRnlmeProject()
,
generate_GPFFromProjectInfo()
,
generate_GPFFromProjectInfoList()
,
getCorMatrixUncertainty()
,
getCovMatrixIIV()
,
getCovMatrixUncertainty()
,
getNamesAllParameters()
,
getNamesCovariateParameters()
,
getNamesCovariates()
,
getNamesErrorParameters()
,
getNamesIIVCorrParameters()
,
getNamesIIVParameters()
,
getNamesModelParameters()
,
getParamTransformationTypes()
,
imputeTYPEcol_GPF()
,
is_GPF()
,
is_IQRnlmeParamSpec()
,
read_GPFFromCSV()
,
read_GPFFromXLS()
,
sampleIDs()
,
sampleIndParamValues()
,
sampleParamFromUncertainty()
,
sampleRandomEffects()
,
sample_GPF()
,
select_FromGPF()
,
specifyParamSampling()
,
transformParamToNormal()
,
untransformParamFromNormal()