Package: fitdistrBayes
Type: Package
Title: Objective Bayesian Distribution Fitting
Version: 0.5.1
Authors@R: person("Pedro Luiz", "Ramos", role = c("aut", "cre", "cph"),
    email = "pedro.ramos@uc.cl")
Description: 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>.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Suggests: posterior, loo (>= 2.7.0)
NeedsCompilation: no
Author: Pedro Luiz Ramos [aut, cre, cph]
Maintainer: Pedro Luiz Ramos <pedro.ramos@uc.cl>
Repository: https://ramospedroluiz.r-universe.dev
Date/Publication: 2026-09-29 15:11:34 UTC
RemoteUrl: https://github.com/ramospedroluiz/fitdistrbayes
RemoteRef: HEAD
RemoteSha: 70d056d1c1997151e0c5f155dfe31cf2b31b73ac
Packaged: 2026-10-08 12:22:59 UTC; root