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: | 2.59 |
| Depends: | R (≥ 3.5.0),Matrix |
| Imports: | methods, utils,lattice,deconvolveR |
| Suggests: | Rmosek,knitr,digest |
| Published: | 2025-12-03 |
| 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 |
| Reference manual: | REBayes.html ,REBayes.pdf |
| Vignettes: | Bayesian Deconvolution (source,R code) MEDDE: Penalized Renyi Density Estimation (source,R code) REBayes: Empirical Bayes for Mixtures (source,R code) |
| Package source: | REBayes_2.59.tar.gz |
| Windows binaries: | r-devel:REBayes_2.59.zip, r-release:REBayes_2.59.zip, r-oldrel:REBayes_2.59.zip |
| macOS binaries: | r-release (arm64):REBayes_2.59.tgz, r-oldrel (arm64):REBayes_2.59.tgz, r-release (x86_64):REBayes_2.59.tgz, r-oldrel (x86_64):REBayes_2.59.tgz |
| Old sources: | REBayes archive |
| Reverse imports: | RCBR |
| Reverse suggests: | ashr,ebnm,ebTobit,mashr |
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