Package: RcppDPR
Type: Package
Title: 'Rcpp' Implementation of Dirichlet Process Regression
Version: 0.1.10
Description: 'Rcpp' reimplementation of the the Bayesian non-parametric Dirichlet Process Regression model for penalized regression first published in Zeng and Zhou (2017) <doi:10.1038/s41467-017-00470-2>. A full Bayesian version is implemented with Gibbs sampling, as well as a faster but less accurate variational Bayes approximation.
Authors@R: c(
    person("Mohammad", "Abu Gazala", , "abugazalamohammad@gmail.com", role = c("cre", "aut")),
    person("Daniel", "Nachun", , "dnachun@stanford.edu", role = "ctb"),
    person("Ping", "Zeng", , "zpstat@xzhmu.edu.cn", role = "ctb")
  )
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.13)
LinkingTo: Rcpp, RcppArmadillo, RcppGSL
Suggests: testthat (>= 3.0.0), snpStats
Config/testthat/edition: 3
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2025-03-19 04:02:14 UTC; moe
Author: Mohammad Abu Gazala [cre, aut],
  Daniel Nachun [ctb],
  Ping Zeng [ctb]
Maintainer: Mohammad Abu Gazala <abugazalamohammad@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-19 15:00:08 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-04 13:29:41 UTC; unix
Archs: RcppDPR.so.dSYM
