Package: BoomSpikeSlab
Version: 1.2.7
Date: 2025-09-03
Title: MCMC for Spike and Slab Regression
Authors@R: c(person(
               given=c("Steven", "L."),
               family = "Scott",
               role = c("aut", "cre"),
               email = "steve.the.bayesian@gmail.com"))
Description: Spike and slab regression with a variety of residual error
        distributions corresponding to Gaussian, Student T, probit,
        logit, SVM, and a few others.  Spike and slab regression is
        Bayesian regression with prior distributions containing a point
        mass at zero.  The posterior updates the amount of mass on this
        point, leading to a posterior distribution that is actually
        sparse, in the sense that if you sample from it many
        coefficients are actually zeros.  Sampling from this posterior
        distribution is an elegant way to handle Bayesian variable
        selection and model averaging.  See
        <DOI:10.1504/IJMMNO.2014.059942> for an explanation of the
        Gaussian case.
License: LGPL-2.1 | file LICENSE
Depends: Boom (>= 0.9.16) , R (>= 4.5.0)
LinkingTo: Boom(>= 0.9.16)
Suggests: MASS, testthat, mlbench, igraph
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-06-24 11:33:15 UTC; root
Author: Steven L. Scott [aut, cre]
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>
Config/pak/sysreqs: make
Repository: https://steve-the-bayesian.r-universe.dev
Date/Publication: 2025-09-04 05:33:05 UTC
RemoteUrl: https://github.com/cran/BoomSpikeSlab
RemoteRef: HEAD
RemoteSha: d1e93a1a39ebcd4318ff5183fce38ee5cc96a37f