PKNCA: Perform Pharmacokinetic Non-Compartmental Analysis

Compute standard Non-Compartmental Analysis (NCA) parameters for typical pharmacokinetic analyses and summarize them.

Version: 0.11.0
Imports: checkmate, dplyr (≥ 0.5.0), digest, nlme, purrr, rlang, stats, tidyr, tibble, utils, lifecycle
Suggests: covr, cowplot, ggplot2, knitr, labeling, pander, pmxTools, rmarkdown, spelling, testthat (≥ 3.0.0), units, withr
Published: 2024-06-19
DOI: 10.32614/CRAN.package.PKNCA
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://billdenney.github.io/pknca/, https://github.com/billdenney/pknca, http://billdenney.github.io/pknca/
NeedsCompilation: no
Language: en-US
Citation: PKNCA citation info
Materials: README NEWS
In views: MixedModels, Pharmacokinetics
CRAN checks: PKNCA results

Documentation:

Reference manual: PKNCA.pdf
Vignettes: Introduction to PKNCA and Usage Instructions
Computing NCA Parameters for Theophylline
Selection of Calculation Intervals
Sparse NCA Calculations
AUC Calculation with PKNCA
Half-life calculation with Tobit regression
Half-Life Calculation
Post-Processing
Unit Assignment and Conversion with PKNCA
Data Imputation
Superposition of Pharmacokinetic Data
Methods Used for Dose-Aware Concentration Interpolation/Extrapolation
Noncompartmental evaluation of time to steady-state
AUC integration methods
PKNCA Training Sessions
Options for Controlling PKNCA
PKNCA Validation
Writing PKNCA Parameter Functions

Downloads:

Package source: PKNCA_0.11.0.tar.gz
Windows binaries: r-devel: PKNCA_0.11.0.zip, r-release: PKNCA_0.11.0.zip, r-oldrel: PKNCA_0.11.0.zip
macOS binaries: r-release (arm64): PKNCA_0.11.0.tgz, r-oldrel (arm64): PKNCA_0.11.0.tgz, r-release (x86_64): PKNCA_0.11.0.tgz, r-oldrel (x86_64): PKNCA_0.11.0.tgz
Old sources: PKNCA archive

Reverse dependencies:

Reverse imports: mbbe, pmxTools, ruminate, ubiquity
Reverse suggests: babelmixr2

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PKNCA to link to this page.