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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.