Package: BayesDissolution 0.2.0

BayesDissolution: Bayesian Models for Dissolution Testing

Fits Bayesian models (amongst others) to dissolution data sets that can be used for dissolution testing. The package was originally constructed to include only the Bayesian models outlined in Pourmohamad et al. (2022) <doi:10.1111/rssc.12535>. However, additional Bayesian and non-Bayesian models (based on bootstrapping and generalized pivotal quanties) have also been added. More models may be added over time.

Authors:Tony Pourmohamad [aut, cre], Steven Novick [ctb]

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BayesDissolution.pdf |BayesDissolution.html
BayesDissolution/json (API)

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

Peer review:

Bug tracker:https://github.com/tpourmohamad/bayesdissolution/issues

Datasets:
  • dis_data - A dissolution data set taken from Ocana et al. (2009).

On CRAN:

13 exports 0.75 score 45 dependencies 316 downloads

Last updated 7 months agofrom:0f65e56bd8. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winOKSep 12 2024
R-4.5-linuxOKSep 12 2024
R-4.4-winOKSep 12 2024
R-4.4-macOKSep 12 2024
R-4.3-winOKSep 12 2024
R-4.3-macOKSep 12 2024

Exports:bmndissplotf2bayesf2bcaf2bootf2calcf2gpqf2pbsggdissplothgpmake_dis_dataprocess_resultsrunExample

Dependencies:base64encbslibcachemclicodacommonmarkcrayondigestfastmapfontawesomefsgeoRgluehtmltoolshttpuvjquerylibjsonlitelaterlatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmemoisemimemnormtpromisespsclquantregR6rappdirsRcpprlangsassshinysourcetoolsspSparseMsplancssurvivalwithrxtable