PKNCA: Compute noncompartmental pharmacokinetics

In PKNCA: Perform Pharmacokinetic Non-Compartmental Analysis

Compute noncompartmental pharmacokinetics

Description

Compute pharmacokinetic (PK) noncompartmental analysis (NCA) parameters.

Details

PKNCA has been cross-validated with both Phoenix WinNonlin(R) and Pumas (click here for the cross-validation article)

A common workflow would load data from a file or database into a data.frame then run the following code.

Author(s)

Maintainer: Bill Denney [e-mail] (ORCID)

Authors:

• Clare Buckeridge [e-mail]

Other contributors:

• Sridhar Duvvuri [contributor]

See Also

Useful links:

• https://billdenney.github.io/pknca/

• https://github.com/billdenney/pknca

• http://billdenney.github.io/pknca/

• Report bugs at https://github.com/billdenney/pknca/issues

Examples

## Not run: 
# Load concentration-time data into a data.frame called d.conc
# with columns named "conc", "time", and "subject".
my.conc <- PKNCAconc(d.conc, conc~time|subject)
# Load dose-time data into a data.frame called d.dose
# with columns named "dose", "time", and "subject".
my.dose <- PKNCAdose(d.dose, dose~time|subject)
# Combine the concentration-time and dose-time data into an object
# ready for calculations.
my.data <- PKNCAdata(my.conc, my.dose)
# Perform the calculations
my.results <- pk.nca(my.data)
# Look at summary results
summary(my.results)
# Look at a listing of results
as.data.frame(my.results)

## End(Not run)

PKNCA documentation built on June 22, 2024, 9:25 a.m.