PKNCA: Perform Pharmacokinetic Non-Compartmental Analysis

Compute standard Non-Compartmental Analysis (NCA) parameters and summarize them. In addition to this core work, it also provides standardized plotting routines, basic assessments for biocomparison or drug interaction, and model-based estimation routines for calculating doses to reach specific values of AUC or Cmax.

Version: 0.8.1
Imports: dplyr, digest, plyr, nlme, parallel, lattice, stats, tidyr, utils
Suggests: knitr, testthat, ggplot2
Published: 2017-12-16
Author: Bill Denney [aut, cre], Clare Buckeridge [aut], Sridhar Duvvuri [ctb]
Maintainer: ORPHANED
BugReports: https://github.com/billdenney/pknca/issues
License: AGPL-3
URL: https://github.com/billdenney/pknca
NeedsCompilation: no
Citation: PKNCA citation info
Materials: README NEWS
In views: Pharmacokinetics
CRAN checks: PKNCA results

Downloads:

Reference manual: PKNCA.pdf
Vignettes: Data Cleaning in PKNCA
Computing NCA Parameters for Theophylline
Introduction to PKNCA and Usage Instructions
Methods Used for Dose-Aware Concentration Interpolation/Extrapolation
Options for Controlling PKNCA
Writing PKNCA Parameter Functions
Superposition of Pharmacokinetic Data
Writing PKNCA Parameter Functions
Package source: PKNCA_0.8.1.tar.gz
Windows binaries: r-devel: PKNCA_0.8.1.zip, r-release: PKNCA_0.8.1.zip, r-oldrel: PKNCA_0.8.1.zip
OS X El Capitan binaries: r-release: PKNCA_0.8.1.tgz
OS X Mavericks binaries: r-oldrel: PKNCA_0.8.1.tgz
Old sources: PKNCA archive

Reverse dependencies:

Reverse imports: polyPK

Linking:

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