sim_IQRmodel with strict output format

sim_IQRmodel_strict.Rd

sim_IQRmodel() output format depends on arguments of the sim_IQRmodel call.

sim_IQRmodel_strict(simIQRmodelSpec)

Arguments

simIQRmodelSpec: Argument list for sim_IQRmodel, created by createSimIQRmodelSpec()

Value

IQRsimres with consistent format, see description

Details

TIME is very context dependent, eventfor explicit simtime values passed as argument.
ID is not always present: If the eventTable contains one ID only, or sim_IQRmodel is called without eventTable, the output an ID column does not contain

By contrast, this function has consistent output, suitable for programming.

TIME corresponds exactly to the input given in simtime
It always contains an ID column
It always has a simNames attribute

Other IQRmodel: IQRmodel(), addOutputs_IQRmodel(), addRelations_IQRmodel(), createSimIQRmodelSpec(), exportSBML_IQRmodel(), exportVariant_IQRmodel(), export_IQRmodel(), getPars_IQRmodel(), hasCcodeFunctions_IQRmodel(), hasInitialAssignments_IQRmodel(), importSBML_IQRmodel(), importVariant_IQRmodel(), is_IQRmodel(), new_IQRmodel(), print.IQRmodel(), print.IQRsensitivity(), regenerate_IQRmodel(), replaceTerms_IQRmodel(), sensitivity_IQRmodel(), setParameters_IQRmodel(), setPars_IQRmodel(), sim_IQRmodel(), simbio_CSV2namedVector(), simbio_updateParamIC_IQRmodel(), stoichiometry_IQRmodel(), strReplace_IQRmodel()

Other Simulation: IQRdosing(), IQReventTable(), createSimIQRmodelSpec(), create_IQReventData(), create_IQReventTable(), extract_IQRdosing(), getDefaultEventTable(), is_IQRdosing(), is_IQReventTable(), is_IQRsimres(), is_IQRsimresMulti(), plot.IQRsimres(), plot.IQRsimresMulti(), print.IQRdosing(), print.IQReventTable(), print.IQRsimres(), print.IQRsimresMulti(), rbind_IQRdosing(), sim_IQRmodel(), sim_IQRmodel_sensitivityScan()

Author

Daniel Lill (daniel.lill@intiquan.com)

Examples

if (FALSE) { # \dontrun{
td <- tempdir()
libraryPK_IQRtools(td)
fl <- file.path(td, "ModelLibraryPK/model_2cpt_linsat_iv.txt")

model <- IQRmodel(fl)
simIQRmodelSpec1 <- createSimIQRmodelSpec(model, simtime = c(0), parameters =  c(CL = 10), dosingTable = IQRdosing(0,1,1))
simres1 <- do.call(sim_IQRmodel, simIQRmodelSpec1)
simres1_strict <- sim_IQRmodel_strict(simIQRmodelSpec = simIQRmodelSpec1)
} # }