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: 0.8.4
Imports: dplyr (≥ 0.5.0), digest, plyr, nlme, parallel, lattice, rlang, stats, tidyr, utils
Suggests: cowplot, ggplot2, knitr, rmarkdown, testthat
Published: 2018-01-03
Author: Bill Denney [aut, cre], Clare Buckeridge [aut], Sridhar Duvvuri [ctb]
Maintainer: Bill Denney <wdenney at humanpredictions.com>
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
CRAN checks: PKNCA results

Downloads:

Reference manual: PKNCA.pdf
Vignettes: AUC Calculation with PKNCA
Choices for Area Under the Curve (AUC)
Data Cleaning in PKNCA
Introduction to PKNCA and Usage Instructions
Methods Used for Dose-Aware Concentration Interpolation/Extrapolation
Options for Controlling PKNCA
PKNCA Validation
Selection of Calculation Intervals
Superposition of Pharmacokinetic Data
Writing PKNCA Parameter Functions
Package source: PKNCA_0.8.4.tar.gz
Windows binaries: r-prerel: PKNCA_0.8.4.zip, r-release: PKNCA_0.8.4.zip, r-oldrel: PKNCA_0.8.4.zip
OS X binaries: r-prerel: PKNCA_0.8.4.tgz, r-release: PKNCA_0.8.4.tgz
Old sources: PKNCA archive

Reverse dependencies:

Reverse imports: pmxTools

Linking:

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