Bayesian density estimates for univariate continuous random samples are provided using the Bayesian inference engine paradigm. The engine options are: Hamiltonian Monte Carlo, the no U-turn sampler, semiparametric mean field variational Bayes and slice sampling. The methodology is described in Wand and Yu (2020) <arXiv:2009.06182>.
|Author||Matt P. Wand [aut, cre] (<https://orcid.org/0000-0003-2555-896X>)|
|Maintainer||Matt P. Wand <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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