Important a model structure with defined parameterization variant
importVariant_IQRmodel.RdIQR Tools allows to store IQRmodels with a certain parameterization in a folder. Such a folder is allowed to contain the general structural model as model.txt file and several csv files that contain model parameterizations in terms of state initial conditions and parameter values. The format of these CSV files is: Column names: NAME, TYPE, INFO, VALUE NAME: Name of the parameter or state in the model. Note, not all parameters or states need to appear. This function here will export all though. But for import only selected elements can be present. TYPE (optional): "State" or "Parameter". If not present it will be inferred from the model. INFO (optional): The comment in the IQRmodel for the respective element. "NA" is not present. If column not present it will be inferred from the model. VALUE: The value of the respective element - always numeric A special case with more than one VALUE column is possible and will be used to handle multiple similar parameterizations - e.g. for virtual patients under a same condition.
importVariant_IQRmodel(pathname, variantname)Arguments
- pathname
The pathname from which to export model and parameterization
- variantname
The name of the parameterization variant to be stored. Either the full path to the CSV file or the filename with or without extension can be provided. Its is required though that the file is located in the pathname folder!
Value
An IQRmodel parameterized with the defined parameterization variant. The models name is appended with the variant information.
See also
Other IQRmodel:
IQRmodel(),
addOutputs_IQRmodel(),
addRelations_IQRmodel(),
createSimIQRmodelSpec(),
exportSBML_IQRmodel(),
exportVariant_IQRmodel(),
export_IQRmodel(),
getPars_IQRmodel(),
hasCcodeFunctions_IQRmodel(),
hasInitialAssignments_IQRmodel(),
importSBML_IQRmodel(),
is_IQRmodel(),
new_IQRmodel(),
print.IQRmodel(),
print.IQRsensitivity(),
regenerate_IQRmodel(),
replaceTerms_IQRmodel(),
sensitivity_IQRmodel(),
setParameters_IQRmodel(),
setPars_IQRmodel(),
sim_IQRmodel(),
sim_IQRmodel_strict(),
simbio_CSV2namedVector(),
simbio_updateParamIC_IQRmodel(),
stoichiometry_IQRmodel(),
strReplace_IQRmodel()
Other QSP:
IQRsysEst(),
IQRsysModel(),
IQRsysProject(),
addOutputs_IQRmodel(),
addRelations_IQRmodel(),
as_IQRsysEst(),
as_IQRsysProject(),
as_IQRsysProjectMulti(),
comparePars_IQRsysModel(),
duplicate_IQRsysProject(),
exportVariant_IQRmodel(),
exportVirtualSubjects_IQRnlmeProject(),
export_IQRsysData(),
getDosing_IQRsysModel(),
getEmpiricalETACovarianceMatrix_IQRsysProject(),
getOptTrace_IQRsysProject(),
getPars_IQRoptTrace(),
getPars_IQRsysModel(),
getPrediction_IQRsysModel(),
hasrun_IQRsysProject(),
import_IQRsysData(),
is_IQRsysEst(),
is_IQRsysModel(),
is_IQRsysProject(),
is_IQRsysProjectMulti(),
load_IQRsysProject(),
modelSpec_IQRsysEst(),
model_IQRsysModel(),
offsetTIME_IQRsysData(),
plotDVPRED_IQRsysModel(),
plotFit_IQRsysModel(),
plotPars_IQRsysModel(),
plotPred_IQRsysModel(),
plotProfile_IQRsysModel(),
plotWRES_IQRsysModel(),
plotWaterfall_IQRsysModel(),
plot_IQRoptTrace(),
plot_IQRsysModel(),
print.IQRsensitivity(),
print.IQRsysProject(),
profile_IQRsysModel(),
replaceTerms_IQRmodel(),
run_IQRsysProject(),
run_IQRsysProjectMulti(),
sample_IQRsysModel(),
sensitivity_IQRmodel(),
setPars_IQRsysModel(),
sim_IQRsysModel(),
sim_IQRvirtualSubjects(),
simbio_CSV2namedVector(),
simbio_updateParamIC_IQRmodel(),
spmIIV_IQRsysProject(),
spm_IQRsysProject(),
switchOpt_IQRsysModel(),
tablePars_IQRsysModel()