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:
BayesDissolution_0.2.0.tar.gz
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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')) |
Bug tracker:https://github.com/tpourmohamad/bayesdissolution/issues
- dis_data - A dissolution data set taken from Ocana et al. (2009).
Last updated 9 months agofrom:0f65e56bd8. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-win | OK | Nov 11 2024 |
R-4.5-linux | OK | Nov 11 2024 |
R-4.4-win | OK | Nov 11 2024 |
R-4.4-mac | OK | Nov 11 2024 |
R-4.3-win | OK | Nov 11 2024 |
R-4.3-mac | OK | Nov 11 2024 |
Exports:bmndissplotf2bayesf2bcaf2bootf2calcf2gpqf2pbsggdissplothgpmake_dis_dataprocess_resultsrunExample
Dependencies:base64encbslibcachemclicodacommonmarkcrayondigestfastmapfontawesomefsgeoRgluehtmltoolshttpuvjquerylibjsonlitelaterlatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmemoisemimemnormtpromisespsclquantregR6rappdirsRcpprlangsassshinysourcetoolsspSparseMsplancssurvivalwithrxtable