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]

BayesDissolution_0.2.0.tar.gz
BayesDissolution_0.2.0.zip(r-4.7)BayesDissolution_0.2.0.zip(r-4.6)BayesDissolution_0.2.0.zip(r-4.5)
BayesDissolution_0.2.0.tgz(r-4.6-any)BayesDissolution_0.2.0.tgz(r-4.5-any)
BayesDissolution_0.2.0.tar.gz(r-4.7-any)BayesDissolution_0.2.0.tar.gz(r-4.6-any)
BayesDissolution_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BayesDissolution/json (API)

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

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

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

On CRAN:

Conda:

2.70 score 271 downloads 13 exports 45 dependencies

Last updated from:0f65e56bd8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK132
source / vignettesOK174
linux-release-x86_64OK127
macos-release-arm64OK75
macos-oldrel-arm64OK68
windows-develOK74
windows-releaseOK84
windows-oldrelOK64
wasm-releaseOK106

Exports:bmndissplotf2bayesf2bcaf2bootf2calcf2gpqf2pbsggdissplothgpmake_dis_dataprocess_resultsrunExample

Dependencies:base64encbslibcachemclicodacommonmarkdigestfastmapfontawesomefsgeoRgluehtmltoolshttpuvjquerylibjsonlitelaterlatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmemoisemimemnormtotelpromisespsclquantregR6rappdirsRcpprlangsassshinysourcetoolsspSparseMsplancssurvivalwithrxtable