Report parameters that PKNCA cannot classify for automatic selection

Intended for packages that register their own NCA parameters: call it in your tests to find parameters that will never be selected automatically because they carry no concept.

Usage

pknca_check_parameter_classification(param = NULL)

Arguments

param

Parameter names to describe. The default is every registered parameter.

Value

A data.frame of the unclassifiable parameters, with the same columns as pknca_parameter_table(). Zero rows means everything is classified.

See also

pknca_concept(), pknca_parameter_table()

Other Interval specifications: add.interval.col(), check.interval.specification(), choose.auc.intervals(), get.interval.cols(), get.parameter.deps(), interval_add_impute(), interval_add_param(), interval_add_secondary(), pknca_concepts(), pknca_interval_table(), pknca_parameter_table(), pknca_presets(), pknca_ref()

Examples

pknca_check_parameter_classification()
#> [1] parameter       concept         tier            sample_type    
#> [5] sparse          secondary       dose_normalized route          
#> [9] dosing         
#> <0 rows> (or 0-length row.names)