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: 1.8
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 (>= 2.10), Matrix
Imports: methods, utils, reliaR
Suggests: Rmosek, knitr, digest
LazyData: TRUE
VignetteBuilder: knitr
SystemRequirements: MOSEK (http://www.mosek.com) and MOSEK license.
License: GPL (>= 2)
URL: https://www.r-project.org
NeedsCompilation: no
RoxygenNote: 6.0.1
Packaged: 2019-02-21 14:20:28 UTC; roger
Author: Roger Koenker [aut, cre],
  Jiaying Gu [ctb],
  Ivan Mizera [ctb]
Repository: CRAN
Date/Publication: 2019-03-04 09:40:02 UTC
Built: R 3.4.4; ; 2019-03-05 07:57:21 UTC; unix
