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: 0.9.1
Imports: dplyr (≥ 0.5.0), digest, nlme, parallel, rlang, stats, tidyr, utils
Suggests: cowplot, ggplot2, knitr, rmarkdown, testthat
Published: 2019-07-29
Author: Bill Denney ORCID iD [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
In views: Pharmacokinetics
CRAN checks: PKNCA results

Downloads:

Reference manual: PKNCA.pdf
Vignettes: AUC Calculation with PKNCA
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
PKNCA Validation
Selection of Calculation Intervals
Superposition of Pharmacokinetic Data
Writing PKNCA Parameter Functions
Package source: PKNCA_0.9.1.tar.gz
Windows binaries: r-devel: PKNCA_0.9.1.zip, r-release: PKNCA_0.9.1.zip, r-oldrel: PKNCA_0.9.1.zip
OS X binaries: r-release: PKNCA_0.9.1.tgz, r-oldrel: PKNCA_0.9.1.tgz
Old sources: PKNCA archive

Reverse dependencies:

Reverse depends: respirometry
Reverse imports: ubiquity

Linking:

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