Package: bWGR Type: Package Title: Bayesian Whole-Genome Regression Version: 2.2.17 Date: 2025-12-12 Maintainer: Alencar Xavier Authors@R: c(person("Alencar", "Xavier", role=c("aut", "cre"), email = "alenxav@gmail.com", comment = c(ORCID = "0000-0001-5034-9954")), person("William", "Muir", role=c("aut")), person("David", "Habier", role=c("aut")), person("Kyle", "Kocak", role=c("aut")),person("Shizhong", "Xu", role=c("aut")),person("Katy", "Rainey", role=c("aut"))) Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (), univariate and multivariate (, ), with optional kernel term and sampling techniques (). License: GPL-3 Imports: Matrix, Rcpp LinkingTo: Rcpp, RcppEigen Depends: R (>= 4.0) NeedsCompilation: yes Repository: https://alenxav.r-universe.dev Date/Publication: 2025-12-11 19:34:16 UTC RemoteUrl: https://github.com/alenxav/bwgr RemoteRef: HEAD RemoteSha: 7d6b258fe425fd6e1d7976eb119988282375fa49 Packaged: 2026-06-24 09:19:02 UTC; root Author: Alencar Xavier [aut, cre] (ORCID: ), William Muir [aut], David Habier [aut], Kyle Kocak [aut], Shizhong Xu [aut], Katy Rainey [aut]