How each NCA parameter is classified for interval selection
Source:R/parameter-classification.R
pknca_parameter_table.RdHow each NCA parameter is classified for interval selection
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.
See also
pknca_concept(), get.interval.cols()
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_check_parameter_classification(),
pknca_concepts(),
pknca_interval_table(),
pknca_presets(),
pknca_ref()
Examples
head(pknca_parameter_table())
#> parameter concept tier sample_type sparse secondary
#> 1 auclast auc common spot FALSE FALSE
#> 2 aucall auc uncommon spot FALSE FALSE
#> 3 aumclast aumc uncommon spot FALSE FALSE
#> 4 aumcall aumc uncommon spot FALSE FALSE
#> 5 aucint.last auc common spot FALSE FALSE
#> 6 aucint.last.dose auc uncommon spot FALSE FALSE
#> dose_normalized route
#> 1 FALSE extravascular,iv_bolus,iv_infusion,iv_continuous_infusion
#> 2 FALSE extravascular,iv_bolus,iv_infusion,iv_continuous_infusion
#> 3 FALSE extravascular,iv_bolus,iv_infusion,iv_continuous_infusion
#> 4 FALSE extravascular,iv_bolus,iv_infusion,iv_continuous_infusion
#> 5 FALSE extravascular,iv_bolus,iv_infusion,iv_continuous_infusion
#> 6 FALSE 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