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Calculate posterior joint and conditional probabilities, probability distributions of population frequencies, and information-theoretic measures, by means of Bayesian nonparametric methods. Data imputation is automatic and done in a principled way. Markov-chain Monte Carlo calculations are automatically handled and do not require user supervision. Applications range from statistical estimation and probabilistic hypothesis testing to evidence-based inference and decision making, in a wide range of disciplines from astrophysics to medicine. For more details and examples see for instance Porta Mana et al. (2026) <doi:10.31219/osf.io/8nr56>, Dunson & Bhattacharya (2011) <doi:10.1093/acprof:oso/9780199694587.003.0005>, Lindley & Novick (1981) <doi:10.1214/aos/1176345331>, Bernardo & Smith (2000) <doi:10.1002/9780470316870>, Müller et al. (2015) <doi:10.1007/978-3-319-18968-0>. Requires the packages 'Nimble', 'parallel', 'extraDistr'.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.5.0) |
| Imports: | extraDistr, parallel |
| Suggests: | nimble (≥ 1.4.2), knitr, rmarkdown |
| Published: | 2026-07-16 |
| DOI: | 10.32614/CRAN.package.prova (may not be active yet) |
| Author: | PierGianLuca Porta Mana
|
| Maintainer: | PierGianLuca Porta Mana <pgl at portamana.org> |
| License: | AGPL (≥ 3) |
| URL: | https://pglpm.github.io/prova/, https://github.com/pglpm/prova/ |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | prova results |
| Reference manual: | prova.html , prova.pdf |
| Vignettes: |
An introduction to probabilistic-statistical variate analysis (source) Associations among variates and mutual information (source) |
| Package source: | prova_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): prova_1.0.0.tgz, r-oldrel (arm64): prova_1.0.0.tgz, r-release (x86_64): prova_1.0.0.tgz, r-oldrel (x86_64): prova_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.