Package: HDBRR
Type: Package
Title: High Dimensional Bayesian Ridge Regression without MCMC
Version: 1.1.0
Authors@R: c(person("Sergio Perez-Elizalde", "Developer", role = "aut"),
             person("Blanca Monroy-Castillo", "Developer", role = c("aut","cre"), 
             email = "blancamonroy.96@gmail.com"),
             person("Paulino Perez-Rodriguez", "User", role = "ctb"))
Description: The svd(singular value decomposition) or qr decomposition was using for the implementation, this avoid the recursion optimizing the time in the compute. 
License: GPL (>= 2)
Depends: R (>= 3.0.0)
Encoding: UTF-8
Imports: numDeriv, parallel, bigstatsr, MASS, graphics
RoxygenNote: 7.1.1
NeedsCompilation: no
LazyData: true
Packaged: 2021-08-13 15:54:34 UTC; monroy
Author: Sergio Perez-Elizalde Developer [aut],
  Blanca Monroy-Castillo Developer [aut, cre],
  Paulino Perez-Rodriguez User [ctb]
Maintainer: Blanca Monroy-Castillo Developer <blancamonroy.96@gmail.com>
Repository: CRAN
Date/Publication: 2021-08-13 16:20:01 UTC
