Fits common univariate distributions using registered objective Bayesian priors, including Jeffreys, reference, and maximal data information priors. Model-specific posterior propriety and moment conditions are checked before computation. Exact simulation, marginalization, slice sampling, and adaptive Metropolis algorithms are selected from posterior structure, with a common interface for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation. The reference-prior framework follows Bernardo (1979) <doi:10.1111/j.2517-6161.1979.tb01066.x>.
| Version: | 0.2.0 |
| Depends: | R (≥ 4.1.0) |
| Suggests: | posterior |
| Published: | 2026-08-06 |
| DOI: | 10.32614/CRAN.package.fitdistrBayes |
| Author: | Pedro Luiz Ramos [aut, cre, cph] |
| Maintainer: | Pedro Luiz Ramos <pedro.ramos at uc.cl> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | fitdistrBayes results |
| Reference manual: | fitdistrBayes.html , fitdistrBayes.pdf |
| Package source: | fitdistrBayes_0.2.0.tar.gz |
| Windows binaries: | r-devel: fitdistrBayes_0.2.0.zip, r-release: fitdistrBayes_0.2.0.zip, r-oldrel: fitdistrBayes_0.2.0.zip |
| macOS binaries: | r-release (arm64): fitdistrBayes_0.2.0.tgz, r-oldrel (arm64): fitdistrBayes_0.2.0.tgz, r-release (x86_64): fitdistrBayes_0.2.0.tgz, r-oldrel (x86_64): fitdistrBayes_0.2.0.tgz |
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