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 |
| Reference manual: | REBayes.pdf |
| Vignettes: |
Bayesian Deconvolution MEDDE: Penalized Renyi Density Estimation REBayes: Empirical Bayes for Mixtures |
| 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 imports: | RCBR |
| Reverse suggests: | ashr, ebnm, ebTobit, mashr |
Please use the canonical form https://CRAN.R-project.org/package=REBayes to link to this page.