Package: densEstBayes
Version: 1.0-2.2
Date: 2021-08-19
Title: Density Estimation via Bayesian Inference Engines
Authors@R: person("Matt P.", "Wand", role = c("aut","cre"),
                  email = "matt.wand@uts.edu.au",
                  comment = c(ORCID = "0000-0003-2555-896X"))
Maintainer: Matt P. Wand <matt.wand@uts.edu.au>
Description: 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>.
License: GPL (>= 2)
LazyData: true
Biarch: true
Depends: R (>= 3.5.0)
Imports: MASS, nlme, Rcpp, methods, rstan, rstantools
LinkingTo: BH, Rcpp, RcppArmadillo, RcppEigen, RcppParallel,
        StanHeaders, rstan
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2026-06-10 10:55:31 UTC; root
Author: Matt P. Wand [aut, cre]
        (<https://orcid.org/0000-0003-2555-896X>)
Config/pak/sysreqs: make
Repository: https://mattwand.r-universe.dev
Date/Publication: 2023-03-31 05:43:36 UTC
RemoteUrl: https://github.com/cran/densEstBayes
RemoteRef: HEAD
RemoteSha: fe67eca347b459ddf961c6651d31f894f655535e