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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | fitdistrBayes_0.2.0.tar.gz |
229.2 KiB |
0.2.0 |
rolling linux/noble R-4.5 | fitdistrBayes_0.2.0.tar.gz |
229.2 KiB |
0.2.0 |
rolling source/ R- | fitdistrBayes_0.2.0.tar.gz |
59.5 KiB |
0.2.0 |
latest linux/jammy R-4.5 | fitdistrBayes_0.2.0.tar.gz |
229.2 KiB |
0.2.0 |
latest linux/noble R-4.5 | fitdistrBayes_0.2.0.tar.gz |
229.2 KiB |
0.2.0 |
latest source/ R- | fitdistrBayes_0.2.0.tar.gz |
59.5 KiB |
0.2.0 |
2026-04-23 source/ R- | fitdistrBayes_0.2.0.tar.gz |
0 B |