Determines eigenvalues of an NLME project
eigenvalues_IQRnlmeProject.Rd
Useful function to determine the terminal elimination halflife for PK models. It currently only works for linear models. In case of non-linear models or models for which not all parameters are defined NA will be returned.
eigenvalues_IQRnlmeProject(
projectPath,
Nsamples = NULL,
FLAGiiv = TRUE,
covariates = NULL
)
Arguments
- projectPath
Path to the NLME project
- Nsamples
If NULL, the eigenvalues for the population mean parameters are returned. If a number is provided, samples are taken from the distribution and for each realization the eigenvalues are returned. The distribution from which sampling is done is determined by FLAGiiv argument.
- FLAGiiv
If TRUE (default) then the sample are drawn from the intr-individual variability distribution. If FALS then samples are drawn from the uncertainty distribution of the population mean parameters.
- covariates
Data frame with covariates that will be taken into account when sampling also from IIV
Value
data.frame with eigenvalues
See also
Other IQRnlmeProject:
IQRnlmeEst()
,
IQRnlmeProject()
,
addCovariateToModelSpec_IQRest()
,
addPar_modelSpec()
,
as_IQRnlmeProject()
,
as_IQRnlmeProjectMulti()
,
bootstrap_IQRnlmeProject()
,
compareModels_IQRnlmeProjectMulti()
,
convertETAINDIVPRED_IQRnlmeProject()
,
covariateEffect_IQRnlmeProject()
,
data_IQRest()
,
dosing_IQRest()
,
duplicate_IQRnlmeProject()
,
exportVirtualSubjects_IQRnlmeProject()
,
getData_IQRnlmeProject()
,
getETAs_IQRnlmeProject()
,
getEst_IQRnlmeProject()
,
getHeader_IQRnlmeProject()
,
getIndivParameters_IQRnlmeProject()
,
getIndivPredictions_IQRnlmeProject()
,
getModel_IQRnlmeProject()
,
getObsPred_IQRnlmeProject()
,
getPopParameters_IQRnlmeProject()
,
getResults_IQRnlmeProject()
,
getResults_IQRnlmeProjectMulti()
,
hasrun_IQRnlmeProject()
,
hasrun_IQRnlmeProjectMulti()
,
informationContent_IQRnlmeProject()
,
is_IQRnlmeEst()
,
is_IQRnlmeProject()
,
is_IQRnlmeProjectMulti()
,
is_MONOLIX_IQRnlmeProject()
,
is_NLMIXR_IQRnlmeProject()
,
is_NONMEM_IQRnlmeProject()
,
modelSpec_IQRest()
,
outlier_IQRnlmeProject()
,
plot.IQRnlmeProject()
,
plot.IQRnlmeProjectMulti()
,
plotBLQVPC_IQRdataVPC()
,
plotConvergence_IQRnlmeProject()
,
plotETACOV_IQRnlmeProject()
,
plotETA_IQRnlmeProject()
,
plotGOF_IQRnlmeProject()
,
plotINDIVSIM_IQRnlmeProject()
,
plotINDIV_IQRnlmeProject()
,
plotMEANSIM_IQRnlmeProject()
,
plotVPC_IQRdataVPC()
,
pred_IQRnlmeProject()
,
print.IQRnlmeEst()
,
print.IQRnlmeProject()
,
print.IQRnlmeProjectMulti()
,
print_modelSpec()
,
run_IQRnlmeProject()
,
run_IQRnlmeProjectMulti()
,
sample_IQRnlmeProject()
,
scm_IQRnlmeProject()
,
summary.IQRnlmeProject()
,
summary.IQRnlmeProjectMulti()
,
summaryComments_IQRnlmeProjectMulti()
,
summaryCorrelations_IQRnlmeProjectMulti()
,
summaryCovariates_IQRnlmeProjectMulti()
,
summaryParameters_IQRnlmeProjectMulti()
,
vpc_IQRnlmeProject()