Empirical ETA covariance matrix IQRsysProjects
getEmpiricalETACovarianceMatrix_IQRsysProject.RdDetermine the empirical covariance matrix for the ETAs from an IQRsysProject. Works on IQRnlmeProjects as well but it is not needed there. The main use of this function is in the sampling of individual parameters from estimation results. As IQRsysProjects do not estimate the random effects, it is advantageous to consider the empirical post hoc distributions, allowing also to consider correlations of random effects.
getEmpiricalETACovarianceMatrix_IQRsysProject(projectPath)Value
Empirical ETA covariance matrix
See also
Other QSP:
IQRsysEst(),
IQRsysModel(),
IQRsysProject(),
addOutputs_IQRmodel(),
addRelations_IQRmodel(),
as_IQRsysEst(),
as_IQRsysProject(),
as_IQRsysProjectMulti(),
comparePars_IQRsysModel(),
duplicate_IQRsysProject(),
exportVariant_IQRmodel(),
exportVirtualSubjects_IQRnlmeProject(),
export_IQRsysData(),
getDosing_IQRsysModel(),
getOptTrace_IQRsysProject(),
getPars_IQRoptTrace(),
getPars_IQRsysModel(),
getPrediction_IQRsysModel(),
hasrun_IQRsysProject(),
importVariant_IQRmodel(),
import_IQRsysData(),
is_IQRsysEst(),
is_IQRsysModel(),
is_IQRsysProject(),
is_IQRsysProjectMulti(),
load_IQRsysProject(),
modelSpec_IQRsysEst(),
model_IQRsysModel(),
offsetTIME_IQRsysData(),
plotDVPRED_IQRsysModel(),
plotFit_IQRsysModel(),
plotPars_IQRsysModel(),
plotPred_IQRsysModel(),
plotProfile_IQRsysModel(),
plotWRES_IQRsysModel(),
plotWaterfall_IQRsysModel(),
plot_IQRoptTrace(),
plot_IQRsysModel(),
print.IQRsensitivity(),
print.IQRsysProject(),
profile_IQRsysModel(),
replaceTerms_IQRmodel(),
run_IQRsysProject(),
run_IQRsysProjectMulti(),
sample_IQRsysModel(),
sensitivity_IQRmodel(),
setPars_IQRsysModel(),
sim_IQRsysModel(),
sim_IQRvirtualSubjects(),
simbio_CSV2namedVector(),
simbio_updateParamIC_IQRmodel(),
spmIIV_IQRsysProject(),
spm_IQRsysProject(),
switchOpt_IQRsysModel(),
tablePars_IQRsysModel()