REBayes: Empirical Bayes Estimation and Inference

Kiefer-Wolfowitz maximum likelihood estimation for mixture models and some other density estimation and regression methods based on convex optimization. See Koenker and Gu (2017) REBayes: An R Package for Empirical Bayes Mixture Methods, Journal of Statistical Software, 82, 1–26, <doi:10.18637/jss.v082.i08>.

Version:	2.56
Depends:	R (≥ 3.5.0), Matrix
Imports:	methods, utils, lattice
Suggests:	Rmosek, knitr, digest
Published:	2024-06-22
DOI:	10.32614/CRAN.package.REBayes
Author:	Roger Koenker [aut, cre], Jiaying Gu [ctb], Ivan Mizera [ctb]
Maintainer:	Roger Koenker <rkoenker at uiuc.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://www.r-project.org
NeedsCompilation:	no
SystemRequirements:	MOSEK (http://www.mosek.com) and MOSEK license.
Citation:	REBayes citation info
Materials:	ChangeLog
In views:	Bayesian, Optimization
CRAN checks:	REBayes results

Documentation:

Reference manual:	REBayes.pdf
Vignettes:	Bayesian Deconvolution MEDDE: Penalized Renyi Density Estimation REBayes: Empirical Bayes for Mixtures

Downloads:

Package source:	REBayes_2.56.tar.gz
Windows binaries:	r-devel: REBayes_2.56.zip, r-release: REBayes_2.56.zip, r-oldrel: REBayes_2.56.zip
macOS binaries:	r-release (arm64): REBayes_2.56.tgz, r-oldrel (arm64): REBayes_2.56.tgz, r-release (x86_64): REBayes_2.56.tgz, r-oldrel (x86_64): REBayes_2.56.tgz
Old sources:	REBayes archive

Reverse dependencies:

Reverse imports:	RCBR
Reverse suggests:	ashr, ebnm, ebTobit, mashr

Linking:

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