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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) <doi:10.48550/arXiv.2009.06182>.

Version: 1.0-2.2
Depends: R (≥ 3.5.0)
Imports: MASS, nlme, Rcpp, methods, rstan, rstantools
LinkingTo: BH, Rcpp, RcppArmadillo, RcppEigen, RcppParallel, StanHeaders, rstan
Published: 2023-03-31
DOI: 10.32614/CRAN.package.densEstBayes
Author: Matt P. Wand ORCID iD [aut, cre]
Maintainer: Matt P. Wand <matt.wand at uts.edu.au>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: GNU make
In views: Bayesian
CRAN checks: densEstBayes results

Documentation:

Reference manual: densEstBayes.pdf
Vignettes: densEstBayes User Manual

Downloads:

Package source: densEstBayes_1.0-2.2.tar.gz
Windows binaries: r-devel: densEstBayes_1.0-2.2.zip, r-release: densEstBayes_1.0-2.2.zip, r-oldrel: densEstBayes_1.0-2.2.zip
macOS binaries: r-release (arm64): densEstBayes_1.0-2.2.tgz, r-oldrel (arm64): densEstBayes_1.0-2.2.tgz, r-release (x86_64): densEstBayes_1.0-2.2.tgz, r-oldrel (x86_64): densEstBayes_1.0-2.2.tgz
Old sources: densEstBayes archive

Reverse dependencies:

Reverse imports: reldist
Reverse suggests: sspse

Linking:

Please use the canonical form https://CRAN.R-project.org/package=densEstBayes to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.