High Dimensional Bayesian Ridge Regression without MCMC R package HDBRR version 1.1.4 Ridge regression provide biased estimators of the regression parameters with lower variance. The HDBRR ("High Dimensional Bayesian Ridge Regression") function fits Bayesian Ridge regression without MCMC, this one uses the SVD or QR decomposition for the posterior computation. Software Depends: R (>= 3.0.0) Imports: numDeriv, parallel, bigstatsr, MASS, graphics Blanca Monroy-Castillo Developer <blancamonroy.96@gmail.com> Comprehensive R Archive Network (CRAN) Sergio Perez-Elizalde Developer [aut], Blanca Monroy-Castillo Developer [aut, cre], Paulino Perez-Rodriguez User [ctb], Jose Crossa User [ctb] GPL (>= 2) 2022-10-05 application/tgz https://CRAN.R-project.org/package=HDBRR doi:10.32614/CRAN.package.HDBRR