AccelStab: Accelerated Stability Kinetic Modelling

Estimate the Šesták–Berggren kinetic model (degradation model) from experimental data. A A closed-form (analytic) solution to the degradation model is implemented as a non-linear fit, allowing for the extrapolation of the degradation of a drug product - both in time and temperature. Parametric bootstrap, with kinetic parameters drawn from the multivariate t-distribution, and analytical formulae (the delta method) are available options to calculate the confidence and prediction intervals. The results (modelling, extrapolations and statistical intervals) can be visualised with multiple plots. The examples illustrate the accelerated stability modelling in drugs and vaccines development.

Version: 2.0.1
Depends: R (≥ 4.1.0)
Imports: dplyr, ggplot2, minpack.lm, mvtnorm, stats, scales
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, lifecycle
Published: 2024-03-26
Author: Bernard G Franq [aut, cph], Ben Wells [cre], Alex Ball [ctb]
Maintainer: Ben Wells <benwells at bayezian.com>
BugReports: https://github.com/AccelStab/AccelStab/issues
License: AGPL (≥ 3)
URL: https://github.com/AccelStab/AccelStab
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: AccelStab results

Documentation:

Reference manual: AccelStab.pdf

Downloads:

Package source: AccelStab_2.0.1.tar.gz
Windows binaries: r-prerel: AccelStab_2.0.1.zip, r-release: AccelStab_2.0.1.zip, r-oldrel: AccelStab_2.0.1.zip
macOS binaries: r-prerel (arm64): AccelStab_2.0.1.tgz, r-release (arm64): AccelStab_2.0.1.tgz, r-oldrel (arm64): AccelStab_2.0.1.tgz, r-prerel (x86_64): AccelStab_2.0.1.tgz, r-release (x86_64): AccelStab_2.0.1.tgz
Old sources: AccelStab archive

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