REBayes: Empirical Bayes Estimation and Inference in R

Kiefer-Wolfowitz maximum likelihood estimation for mixture models and some other density estimation and regression methods based on convex optimization.

Version: 0.85
Depends: R (≥ 2.10), Matrix
Imports: Rmosek, methods, reliaR
Suggests: knitr
Published: 2017-05-04
Author: Roger Koenker [aut, cre], Jiaying Gu [ctb], Ivan Mizera [ctb]
Maintainer: Roger Koenker <rkoenker at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
SystemRequirements: MOSEK ( and MOSEK License for use of Rmosek, optional use of the pogs optimizer may require CUDA/GPU accoutrements.
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_0.85.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: not available
Old sources: REBayes archive

Reverse dependencies:

Reverse enhances: ashr


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