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

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

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
)

addErr_modelSpec(modelSpec, output, value_abs = 0, value_rel = 0)

removePar_modelSpec(modelSpec, parname)

removeCov_modelSpec(modelSpec, parname, covname)

removeErr_modelSpec(modelSpec, output)

Arguments

modelSpec

model specification list, see modelSpec_IQRest.

parname

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

value

numeric, value of the parameter.

estimate

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

distribution

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

IIVvalue

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

IIVestimate

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

covname

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

center

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.

output

character ("OUTPUT1", "OUTPUT2", etc) or numeric (1, 2, 3, etc.), pointing to the output for which the error model should be defined.

value_abs

numeric, initial value of absolute error. If 0 (default), no absolute error is considered.

value_rel

numeric, initial value of the relative error. If 0 (default), no relative error is considered.

Value

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

Author

Daniel Kaschek, IntiQuan