Convenience functions for model spec manipulation

add* functions create entries in the model spec if they do not yet exist and overwrite entries if present. Please consider using print_modelSpec after all manipulations to check if manipulations took the expected effect. remove* functions remove entries from all places in the model specification.

addPar_modelSpec(modelSpec, parname, value, estimate = NULL,
  distribution = NULL, IIVvalue = NULL, IIVestimate = NULL)

addCov_modelSpec(modelSpec, parname, covname, value = NULL,
  estimate = NULL, center = NULL)

removePar_modelSpec(modelSpec, parname)

removeCov_modelSpec(modelSpec, parname, covname)



model specification list, see modelSpec_IQRest.


character (for add functions), or character vector (for remove functions). The name of the parameter(s) to add or remove.


numeric, value of the parameter.


integer or NULL (default). 0 = fix, 1 = estimate, NULL = auto.


character or NULL (default), "L" = log, "G" = logit, "N" = natural, NULL = auto.


numeric or NULL (default), value for standard deviation of the random effect.


integer or NULL (default), 0 = fix to zero, 1 = estimate, 2 = fix to IIVvalue, NULL = auto.


character (for add function), or character vector (for remove function).


numeric, the reference value for the covariate. Attention: currently, it is not possible to have different center for different parmeters of the same covariate. When center is provided with the addCov function, its current value will be overwritten.


model specification list

See also

Other IQRnlmeProject: IQRnlmeEst, IQRnlmeProject, addCovariateToModelSpec_IQRest, 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, sample_IQRnlmeProject, summary.IQRnlmeProjectMulti, summary.IQRnlmeProject, summaryComments_IQRnlmeProjectMulti, summaryCorrelations_IQRnlmeProjectMulti, summaryCovariates_IQRnlmeProjectMulti, summaryParameters_IQRnlmeProjectMulti, vpc_IQRnlmeProject