fitdistrBayes: Objective Bayesian Distribution Fitting
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. The
reference-prior framework follows Bernardo (1979)
<doi:10.1111/j.2517-6161.1979.tb01066.x>.
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