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gigg: Group Inverse-Gamma Gamma Shrinkage for Sparse Regression with Grouping Structure

A Gibbs sampler corresponding to a Group Inverse-Gamma Gamma (GIGG) regression model with adjustment covariates. Hyperparameters in the GIGG prior specification can either be fixed by the user or can be estimated via Marginal Maximum Likelihood Estimation. Jonathan Boss, Jyotishka Datta, Xin Wang, Sung Kyun Park, Jian Kang, Bhramar Mukherjee (2021) <doi:10.48550/arXiv.2102.10670>.

Version: 0.2.1
Depends: R (≥ 3.5.0)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo, BH
Published: 2021-03-09
DOI: 10.32614/CRAN.package.gigg
Author: Jon Boss [aut], Bhramar Mukherjee [aut], Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <mkleinsa at umich.edu>
BugReports: https://github.com/umich-cphds/gigg/issues
License: GPL-2
URL: https://github.com/umich-cphds/gigg
NeedsCompilation: yes
Materials: README
CRAN checks: gigg results

Documentation:

Reference manual: gigg.pdf

Downloads:

Package source: gigg_0.2.1.tar.gz
Windows binaries: r-devel: gigg_0.2.1.zip, r-release: gigg_0.2.1.zip, r-oldrel: gigg_0.2.1.zip
macOS binaries: r-release (arm64): gigg_0.2.1.tgz, r-oldrel (arm64): gigg_0.2.1.tgz, r-release (x86_64): gigg_0.2.1.tgz, r-oldrel (x86_64): gigg_0.2.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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