densEstBayes: Density Estimation via Bayesian Inference Engines

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>.

Package details

AuthorMatt P. Wand [aut, cre] (<https://orcid.org/0000-0003-2555-896X>)
MaintainerMatt P. Wand <matt.wand@uts.edu.au>
LicenseGPL (>= 2)
Version1.0-1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("densEstBayes")

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densEstBayes documentation built on Oct. 23, 2020, 6:58 p.m.