Package: REBayes
Title: Empirical Bayes Estimation and Inference
Description: 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: 2.60
Authors@R: c(
    person( "Roger", "Koenker", email=  "rkoenker@uiuc.edu", role =  c("aut", "cre")),
    person("Jiaying", "Gu", email =  "gu17@illinois.edu", role = "ctb"),
    person("Ivan", "Mizera", email = "mizera@ualberta.ca", role =  "ctb")
    )
Maintainer: Roger Koenker <rkoenker@uiuc.edu>
Depends: R (>= 3.5.0), Matrix
Imports: methods, utils, lattice
Suggests: Rmosek, knitr, digest, deconvolveR
LazyData: TRUE
Encoding: UTF-8
VignetteBuilder: knitr
SystemRequirements: MOSEK (http://www.mosek.com) and MOSEK license.
License: GPL (>= 2)
URL: https://www.r-project.org
NeedsCompilation: no
RoxygenNote: 7.3.3
Packaged: 2026-07-04 20:18:34 UTC; root
Author: Roger Koenker [aut, cre], Jiaying Gu [ctb], Ivan Mizera [ctb]
Repository: https://rudjer.r-universe.dev
Date/Publication: 2026-03-01 15:50:02 UTC
RemoteUrl: https://github.com/cran/REBayes
RemoteRef: HEAD
RemoteSha: 93bc5fe54e6fd7bdc5d480aba8d171210d0e0f93