Package: bWGR
Type: Package
Title: Bayesian Whole-Genome Regression
Version: 2.2
Date: 2023-04-10
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 (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>),
    with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
License: GPL-3
Imports: Matrix, Rcpp
LinkingTo: Rcpp, RcppEigen
Depends: R (>= 4.0)
NeedsCompilation: yes
Repository: CRAN
Packaged: 2023-04-07 23:29:15 UTC; rd7564
Author: Alencar Xavier [aut, cre] (<https://orcid.org/0000-0001-5034-9954>),
  William Muir [aut],
  David Habier [aut],
  Kyle Kocak [aut],
  Shizhong Xu [aut],
  Katy Rainey [aut]
Maintainer: Alencar Xavier <alenxav@gmail.com>
Date/Publication: 2023-04-07 23:50:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 15:52:48 UTC; windows
Archs: i386, x64
