Extends the model specification by covariate relationships.
addCovariateToModelSpec_IQRest.Rd
Can be used for syspharm and NLME type of estimation objects. This is a convenience function to ease the extension of model specification by covariate relationships taking care of the entries for 'covariateModel', 'COVestimate', 'COVcentering', and 'covariateModelValues'
addCovariateToModelSpec_IQRest( modelSpec, covariateModel, covariateModelValues = NULL, COVestimate = NULL, COVcentering = NULL )
Arguments
modelSpec | Model specification to be extended. |
---|---|
covariateModel | Named list with covariate relationships to be added. |
covariateModelValues | Optional named list with initial covariate values |
COVestimate | Optional named list with flags whether to estimate the respective covariate relationship |
COVcentering | Optional named vector with reference values for covariates (will only be applied for non-existing reference values) |
Value
Returns modified model specification.
See also
Other IQRnlmeProject:
IQRnlmeEst()
,
IQRnlmeProject()
,
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()
,
sample_IQRnlmeProject()
,
summary.IQRnlmeProjectMulti()
,
summary.IQRnlmeProject()
,
summaryComments_IQRnlmeProjectMulti()
,
summaryCorrelations_IQRnlmeProjectMulti()
,
summaryCovariates_IQRnlmeProjectMulti()
,
summaryParameters_IQRnlmeProjectMulti()
,
vpc_IQRnlmeProject()
Examples
if (FALSE) { # Model specification with one covariate relationship modelSpec0 <- list( POPvalues = c(ka = 0.1, CL = 1, Vc = 20), covariateModel = list(CL = "BWT") ) # Add covariate model with initial guess modelSpec1 <- addCovariateToModelSpec_IQRest( modelSpec = modelSpec0, covariateModel = list(Vc = "SEX"), covariateModelValues = list(Vc = c("SEX" = 0.5)) ) }