fitdistrBayes: Objective Bayesian Distribution Fitting

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 (may not be active yet)
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

Documentation:

Reference manual:

fitdistrBayes.html , fitdistrBayes.pdf

Downloads:

Package source:	fitdistrBayes_0.2.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
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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