DESCRIPTION

Package: UBR
Type: Package
Title: Unified Bayesian Regularization via Scale Mixture of Uniform Distributions
Version: 0.1
Date: 2018-09-11
Authors: Himel Mallick (Merck Research Laboratories) <himel.mallick@merck.com>, Rahim Alhamzawi (University of Al-Qadisiyah) <rahim.alhamzawi@qu.edu.iq>
Maintainer: Himel Mallick <himel.mallick@merck.com>
Description: UBR provides Bayesian regularization methods for high-dimensional linear regression. The methods implemented in this package leverage a novel data augmentation scheme based on the scale mixture of uniform (SMU) distribution that leads to a set of efficient Gibbs samplers with tractable full conditional posterior distributions and superior performance over existing methods.
Depends: R (>= 3.5.0), msm, tmvtnorm, tmvmixnorm, miscTools, glmnet, timeSeries, Bolstad2, coda, MCMCglmm
License: MIT
LazyData: TRUE
RoxygenNote: 7.1.0