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✨
DESCRIPTION
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 289 downloads 13 exports 45 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK134
source / vignettesOK158
linux-release-x86_64OK132
macos-release-arm64OK77
macos-oldrel-arm64OK113
windows-develOK104
windows-releaseOK68
windows-oldrelOK76
wasm-releaseOK151

Exports:bmndissplotf2bayesf2bcaf2bootf2calcf2gpqf2pbsggdissplothgpmake_dis_dataprocess_resultsrunExample

Dependencies:base64encbslibcachemclicodacommonmarkdigestfastmapfontawesomefsgeoRgluehtmltoolshttpuvjquerylibjsonlitelaterlatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmemoisemimemnormtotelpromisespsclquantregR6rappdirsRcpprlangsassshinysourcetoolsspSparseMsplancssurvivalwithrxtable