choose.auc.intervals: Choose intervals to compute AUCs from time and dosing...

In billdenney/pknca: Perform Pharmacokinetic Non-Compartmental Analysis

Choose intervals to compute AUCs from time and dosing information

Description

Intervals for AUC are selected by the following metrics:

1. If only one dose is administered, use the PKNCA.options("single.dose.aucs")

2. If more than one dose is administered, estimate the AUC between any two doses that have PK taken at both of the dosing times and at least one time between the doses.

3. For the final dose of multiple doses, try to determine the dosing interval (\tau) and estimate the AUC in that interval if multiple samples are taken in the interval.

4. If there are samples > \tau after the last dose, calculate the half life after the last dose.

Usage

choose.auc.intervals(
  time.conc,
  time.dosing,
  options = list(),
  single.dose.aucs = NULL
)

Arguments

time.conc	Time of concentration measurement
time.dosing	Time of dosing
options	List of changes to the default PKNCA options (see PKNCA.options())
single.dose.aucs	The AUC specification for single dosing.

Value

A data frame with columns for start, end, auc.type, and half.life. See check.interval.specification() for column definitions. The data frame may have zero rows if no intervals could be found.

See Also

pk.calc.auc(), pk.calc.aumc(), pk.calc.half.life(), PKNCA.options()

Other Interval specifications: add.interval.col(), check.interval.deps(), check.interval.specification(), get.interval.cols(), get.parameter.deps()

Other Interval determination: find.tau()

billdenney/pknca documentation built on April 1, 2024, 10:45 p.m.