Package: expirest 0.1.6

expirest: Expiry Estimation Procedures

The Australian Regulatory Guidelines for Prescription Medicines (ARGPM), guidance on "Stability testing for prescription medicines", recommends to predict the shelf life of chemically derived medicines from stability data by taking the worst case situation at batch release into account. Consequently, if a change over time is observed, a release limit needs to be specified. Finding a release limit and the associated shelf life is supported, as well as the standard approach that is recommended by guidance Q1E "Evaluation of stability data" from the International Council for Harmonisation (ICH).

Authors:Pius Dahinden [aut, cre], Tillotts Pharma AG [cph, fnd]

expirest_0.1.6.tar.gz
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expirest_0.1.6.tgz(r-4.4-any)expirest_0.1.6.tgz(r-4.3-any)
expirest_0.1.6.tar.gz(r-4.5-noble)expirest_0.1.6.tar.gz(r-4.4-noble)
expirest_0.1.6.tgz(r-4.4-emscripten)expirest_0.1.6.tgz(r-4.3-emscripten)
expirest.pdf |expirest.html
expirest/json (API)
NEWS

# Install 'expirest' in R:
install.packages('expirest', repos = c('https://piusdahinden.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/piusdahinden/expirest/issues

Datasets:
  • exp1 - Stability potency data of five batches
  • exp2 - Stability related substance data of three batches
  • exp3 - Stability moisture data of three batches
  • exp4 - Stability data of 4 batches

On CRAN:

4 exports 1.53 score 28 dependencies 6 scripts 307 downloads

Last updated 6 months agofrom:84e88dbfff. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winOKAug 22 2024
R-4.5-linuxOKAug 22 2024
R-4.4-winOKAug 22 2024
R-4.4-macOKAug 22 2024
R-4.3-winOKAug 22 2024
R-4.3-macOKAug 22 2024

Exports:expirest_osleexpirest_wisleplot_expirest_osleplot_expirest_wisle

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr