bayesreg: Bayesian Regression Models with Continuous Shrinkage Priors

Fits linear or logistic regression model using Bayesian continuous shrinkage prior distributions. Handles ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace or Student-t distributed targets.

Version: 1.0
Depends: methods (≥ 2.0), BayesLogit (≥ 0.6)
Published: 2016-11-24
Author: Daniel F. Schmidt and Enes Makalic
Maintainer: Daniel F. Schmidt <dschmidt at unimelb.edu.au>
License: GPL-2
NeedsCompilation: no
CRAN checks: bayesreg results

Downloads:

Reference manual: bayesreg.pdf
Package source: bayesreg_1.0.tar.gz
Windows binaries: r-devel: bayesreg_1.0.zip, r-release: bayesreg_1.0.zip, r-oldrel: bayesreg_1.0.zip
OS X El Capitan binaries: r-release: bayesreg_1.0.tgz
OS X Mavericks binaries: r-oldrel: bayesreg_1.0.tgz

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