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: | 1.8 |
| Depends: | R (≥ 2.10), Matrix |
| Imports: | methods, utils, reliaR |
| Suggests: | Rmosek, knitr, digest |
| Published: | 2019-03-04 |
| 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 |
| CRAN checks: | REBayes results |
| Reference manual: | REBayes.pdf |
| Vignettes: |
Bayesian Deconvolution MEDDE: Penalized Renyi Density Estimation REBayes: Empirical Bayes for Mixtures |
| Package source: | REBayes_1.8.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| OS X binaries: | r-release: REBayes_1.8.tgz, r-oldrel: REBayes_1.8.tgz |
| Old sources: | REBayes archive |
| Reverse suggests: | ashr, mixsqp |
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