Density Estimation via Bayesian Inference Engines R package densEstBayes version 1.0-2.2 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) 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>. Software Depends: R (>= 3.5.0) Imports: MASS, nlme, Rcpp, methods, rstan, rstantools LinkingTo: BH, Rcpp, RcppArmadillo, RcppEigen, RcppParallel, StanHeaders, rstan Matt P. Wand <matt.wand@uts.edu.au> Comprehensive R Archive Network (CRAN) Matt P. Wand [aut, cre] (ORCID: <https://orcid.org/0000-0003-2555-896X>) GPL (>= 2) 2023-03-31 application/tgz https://CRAN.R-project.org/package=densEstBayes doi:10.32614/CRAN.package.densEstBayes