Samples parameters from an IQRnlmeProject
sample_IQRnlmeProject.Rd
Samples sets of population and / or individual parameters from an IQRnlmeProject. Different sampling types can be specified (see below).
sample_IQRnlmeProject( projectPath, Nsamples = NULL, FLAG_SAMPLE = 0, covariates = NULL, FLAGid = FALSE, verbose = TRUE )
Arguments
projectPath | An IQRnlmeProject or a character string with the path to an IQRnlmeProject folder. |
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Nsamples | Number of samples to generate. If NULL number of samples is set equal set to number of rows of covariates. |
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FLAG_SAMPLE |
Flag indicating the type of sampling:
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covariates | Data frame or matrix. Column names need to contain names of the covariates. If Nsamples is set (not NULL) then there are 3 cases: if covariates is a data.frame wirh nrows as Nsamples then this is used as is. If nrows>Nsamples, sampling without replacement from the covariates is done and if nrows<Nsamples then sampling from covariates with replacement is done. Not all covariates that are used in the model need to be present. |
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FLAGid | If TRUE ID column is added to individual parameters (SAMPLE_FLAG = 0, 1, 5, or 6) or population parameters (SAMPLE_FLAG = 2, 3, 4, 5, or 6). Otherwise only data frames with parameters only are returned (default). |
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verbose | If TRUE then warnings are shown. If FALSE no warnings are shown but only errors. |
Value
A list with sampling results
See also
Other IQRnlmeProject:
IQRnlmeEst()
,
IQRnlmeProject()
,
addCovariateToModelSpec_IQRest()
,
addPar_modelSpec()
,
as_IQRnlmeProjectMulti()
,
as_IQRnlmeProject()
,
bootstrap_IQRnlmeProject()
,
compareModels_IQRnlmeProjectMulti()
,
convertETAINDIVPRED_IQRnlmeProject()
,
covariateEffect_IQRnlmeProject()
,
createDataVPC_IQRnlmeProject()
,
data_IQRest()
,
dosing_IQRest()
,
duplicate_IQRnlmeProject()
,
eigenvalues_IQRnlmeProject()
,
exportVirtualSubjects_IQRnlmeProject()
,
getData_IQRnlmeProject()
,
getETAs_IQRnlmeProject()
,
getEst_IQRnlmeProject()
,
getHeader_IQRnlmeProject()
,
getIndivParameters_IQRnlmeProject()
,
getIndivPredictions_IQRnlmeProject()
,
getModel_IQRnlmeProject()
,
getObsPred_IQRnlmeProject()
,
getPopParameters_IQRnlmeProject()
,
getResults_IQRnlmeProjectMulti()
,
getResults_IQRnlmeProject()
,
hasrun_IQRnlmeProjectMulti()
,
hasrun_IQRnlmeProject()
,
informationContent_IQRnlmeProject()
,
is_IQRnlmeEst()
,
is_IQRnlmeProjectMulti()
,
is_IQRnlmeProject()
,
is_MONOLIX_IQRnlmeProject()
,
is_NLMIXR_IQRnlmeProject()
,
is_NONMEM_IQRnlmeProject()
,
modelSpec_IQRest()
,
outlier_IQRnlmeProject()
,
plot.IQRnlmeProjectMulti()
,
plot.IQRnlmeProject()
,
plotConvergence_IQRnlmeProject()
,
plotETACOV_IQRnlmeProject()
,
plotETA_IQRnlmeProject()
,
plotGOF_IQRnlmeProject()
,
plotINDIVSIM_IQRnlmeProject()
,
plotINDIV_IQRnlmeProject()
,
plotVPC_IQRdataVPC()
,
pred_IQRnlmeProject()
,
print.IQRnlmeEst()
,
print.IQRnlmeProjectMulti()
,
print.IQRnlmeProject()
,
print_modelSpec()
,
run_IQRnlmeProjectMulti()
,
run_IQRnlmeProject()
,
summary.IQRnlmeProjectMulti()
,
summary.IQRnlmeProject()
,
summaryComments_IQRnlmeProjectMulti()
,
summaryCorrelations_IQRnlmeProjectMulti()
,
summaryCovariates_IQRnlmeProjectMulti()
,
summaryParameters_IQRnlmeProjectMulti()
,
vpc_IQRnlmeProject()