bayesreg (1.1)

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Bayesian Regression Models with Global-Local Shrinkage Priors.

Fits linear or logistic regression model using Bayesian global-local shrinkage prior hierarchies as described in Polson and Scott (2010) . Handles ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace or Student-t distributed targets using the algorithms summarized in Makalic and Schmidt (2016) .

Maintainer: Daniel F. Schmidt
Author(s): Daniel F. Schmidt [aut, cph, cre], Enes Makalic [aut, cph]

License: GPL (>= 3)

Uses: pgdraw

Released 7 months ago.

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