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fitdistrBayes  

Objective Bayesian Distribution Fitting
View on CRAN: Click here


Download and install fitdistrBayes package within the R console
Install from CRAN:
install.packages("fitdistrBayes")

Install from Github:
library("remotes")
install_github("cran/fitdistrBayes")

Install by package version:
library("remotes")
install_version("fitdistrBayes", "0.2.0")



Attach the package and use:
library("fitdistrBayes")
Maintained by
Pedro Luiz Ramos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-06
Latest Update: 2026-08-06
Description:
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>.
How to cite:
Pedro Luiz Ramos (2026). fitdistrBayes: Objective Bayesian Distribution Fitting. R package version 0.2.0, https://cran.r-project.org/web/packages/fitdistrBayes. Accessed 29 Sep. 2026.
Previous versions and publish date:
(2026-09-21 12:01), 0.2.0 (2026-08-06 15:40), 0.2.2 (2026-08-29 19:50), 0.2.3 (2026-09-09 16:20)
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Complete documentation for fitdistrBayes
Functions, R codes and Examples using the fitdistrBayes R package
Full fitdistrBayes package functions and examples
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