https://ramospedroluiz.r-universe.devRecent package updates in ramospedroluizR-universehttps://github.com/ramospedroluiz.pnghttps://ramospedroluiz.r-universe.devTue, 29 Sep 2026 15:11:34 GMTpedro.ramos@uc.cl (Pedro Luiz Ramos)Fits common univariate distributions using registered objective Bayesian priors, including Jeffreys, reference, and maximal data information priors, and supports user-defined distributions and priors through an extensible model specification. Model-specific posterior propriety and moment conditions are checked before computation when registered or supplied. Exact simulation, marginalization, slice sampling, adaptive Metropolis, and user-supplied posterior samplers share a common interface for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation. A separate interface fits independently right-censored observations using the registered complete-data priors, observed-data likelihood sampling or data augmentation, with sufficient posterior-propriety checks. Optional post-processing provides WAIC, PSIS-LOO, and DIC for observed-data likelihoods. The reference-prior framework follows Bernardo (1979) <doi:10.1111/j.2517-6161.1979.tb01066.x>.https://github.com/r-universe/ramospedroluiz/actions/runs/37776085778Tue, 29 Sep 2026 15:11:34 GMTfitdistrBayes0.5.1successhttps://ramospedroluiz.r-universe.devhttps://github.com/ramospedroluiz/fitdistrbayes