1. Raue, Bioinformatics 31(21), 2015↩︎

  2. Kaschek, dMod, 2016 (https://cran.r-project.org/package=dMod)↩︎

Runs an IQRnlmeProjectMulti object (each IQRnlmeProject within)

With "running" is meant that it will run the parameter estimation in the tool of choice (format of the IQRnlmeProjects in the IQRnlmeProjectMulti object).

run_IQRnlmeProjectMulti(
  projectPath,
  pathname = NULL,
  ncores = 1,
  Nparallel = 1,
  FLAGrerun = FALSE,
  FLAGclean = TRUE,
  FLAGgof = TRUE,
  FLAGgofStratify = FALSE,
  FLAGremoveRESULTSORIG = FALSE
)

Arguments

projectPath

An IQRnlmeProjectMulti object

pathname

Path to which the summary result files are written. If undefined the summary is not generated.

ncores

Number of cores if use of parallelization of a single model run.

Nparallel

Number of models to run in parallel

FLAGrerun

TRUE: Models will be rerun even if results already present. FALSE: Models for which results are present will not be rerun. This only impacts the "running" of the models. GoF plots will still be generated. This allows for separation of running and GoF plot generation.

FLAGclean

TRUE: will remove unnecessary (NONMEM/NLMIXR) files

FLAGgof

TRUE: Create GoF plots for all runs FALSE: Do not create GoF plots. NOTE THAT GoF plots are out of scope of WP3.

FLAGgofStratify

TRUE: additional GoF plots stratified by covariates in the dataset are produced. For continuous covariates 2 groups are selected (smaller than median and greater equal median). FALSE: no stratification is done (faster).

FLAGremoveRESULTSORIG

Logical. If TRUE then the RESULTSORIG folder will be removed. this will save a considerable amount of space on disk.

Value

An IQRnlmeProjectMulti is returned.

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_IQRnlmeProject(), sample_IQRnlmeProject(), scm_IQRnlmeProject(), summary.IQRnlmeProjectMulti(), summary.IQRnlmeProject(), summaryComments_IQRnlmeProjectMulti(), summaryCorrelations_IQRnlmeProjectMulti(), summaryCovariates_IQRnlmeProjectMulti(), summaryParameters_IQRnlmeProjectMulti(), vpc_IQRnlmeProject()