Nonparametric Probabilistic-Statistical Variate Analysis with Automated Markov-Chain Monte Carlo R package prova version 1.0.0 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'. Software Depends: R (>= 4.5.0) Imports: extraDistr, parallel Suggests: nimble (>= 1.4.2), knitr, rmarkdown PierGianLuca Porta Mana <pgl@portamana.org> Comprehensive R Archive Network (CRAN) PierGianLuca Porta Mana [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-6070-0784>), Aurora Grefsrud [ctb] (ORCID: <https://orcid.org/0009-0005-9063-4131>), Håkon Mydland [ctb] (ORCID: <https://orcid.org/0009-0004-9558-8894>), Maksim Ohvrill [ctb], Simen Hesthamar Hauge [ctb] (ORCID: <https://orcid.org/0009-0005-6158-2846>) AGPL (>= 3) 2026-07-16 application/tgz https://CRAN.R-project.org/package=prova doi:10.32614/CRAN.package.prova