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How each NCA parameter is classified for interval selection

Usage

pknca_parameter_table(param = NULL)

Arguments

param

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

Value

A data.frame with one row per parameter and columns for the concept, tier, sample_type, whether it is sparse, dose_normalized, or secondary (needing inputs from more than one profile), and the route and dosing contexts it applies to (comma-separated).

Details

A parameter whose concept could not be resolved has NA for concept. That is not an error: it is calculated normally when asked for by name, but it is never selected automatically.

Examples

head(pknca_parameter_table())
#>    parameter concept     tier sample_type sparse secondary dose_normalized
#> 1    auclast     auc   common        spot  FALSE     FALSE           FALSE
#> 2 auclast_se     auc uncommon        spot   TRUE     FALSE           FALSE
#> 3 auclast_df     auc uncommon        spot   TRUE     FALSE           FALSE
#> 4     aucall     auc uncommon        spot  FALSE     FALSE           FALSE
#> 5  aucall_se     auc uncommon        spot   TRUE     FALSE           FALSE
#> 6  aucall_df     auc uncommon        spot   TRUE     FALSE           FALSE
#>                                                       route
#> 1 extravascular,iv_bolus,iv_infusion,iv_continuous_infusion
#> 2 extravascular,iv_bolus,iv_infusion,iv_continuous_infusion
#> 3 extravascular,iv_bolus,iv_infusion,iv_continuous_infusion
#> 4 extravascular,iv_bolus,iv_infusion,iv_continuous_infusion
#> 5 extravascular,iv_bolus,iv_infusion,iv_continuous_infusion
#> 6 extravascular,iv_bolus,iv_infusion,iv_continuous_infusion
#>                         dosing
#> 1 single,multiple,steady_state
#> 2 single,multiple,steady_state
#> 3 single,multiple,steady_state
#> 4 single,multiple,steady_state
#> 5 single,multiple,steady_state
#> 6 single,multiple,steady_state