Creating an IQRnlmeProjectMulti project

as_IQRnlmeProjectMulti.Rd

IQRnlmeProjectMulti objects are lists that contain IQRnlmeProjects. The list elements of IQRnlmeProjectMulti objects are named by default with the relative path to the IQRnlmeProjects. If the user desired this can be changed manually later. The names will be used in tables for display.

as_IQRnlmeProjectMulti(input, FLAGrecursive = FALSE)

Arguments

input

Character string or vector of character strings with paths to folders. If these folders are IQRnlmeProjects then these are added to the IQRnlmeProjectMulti object. If these folders are not IQRnlmeProjects then it is checked if in these folders IQRnlmeProjects are located and if yes these are added to the IQRnlmeProjectMulti object. input argument can also be IQRnlmeProject and IQRnlmeProjectMulti objects, which are turned to a single IQRnlmeProjectMulti object.

FLAGrecursive

If TRUE then folders and their subfolders are recursively checked if they contain IQRnlmeProjects. If yes, all these are added to the IQRnlmeProjectMulti object.

Value

IQRnlmeProjectMulti project

Details

There are several options to create an IQRnlmeProjectMulti object. First, if the input argument is a character string or a vector of character strings then each element is interpreted as a path and every IQRnlmeProject included in this path will be added to the object. By default the top level path is used. But it is also possible to add models recursively.

Alternativaly, input can be an IQRnlmeProject of an IQRnlmeProjectMulti, which both will be returned as IQRnlmeProjectMulti objects.

See also

Other IQRnlmeProject: IQRnlmeEst(), IQRnlmeProject(), addCovariateToModelSpec_IQRest(), addPar_modelSpec(), as_IQRnlmeProject(), bootstrap_IQRnlmeProject(), compareModels_IQRnlmeProjectMulti(), convertETAINDIVPRED_IQRnlmeProject(), covariateEffect_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_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()