Package: gigg 0.2.1

Michael Kleinsasser

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) <arxiv:2102.10670>.

Authors:Jon Boss [aut], Bhramar Mukherjee [aut], Michael Kleinsasser [cre]

gigg_0.2.1.tar.gz
gigg_0.2.1.zip(r-4.7)gigg_0.2.1.zip(r-4.6)gigg_0.2.1.zip(r-4.5)
gigg_0.2.1.tgz(r-4.6-x86_64)gigg_0.2.1.tgz(r-4.6-arm64)gigg_0.2.1.tgz(r-4.5-x86_64)gigg_0.2.1.tgz(r-4.5-arm64)
gigg_0.2.1.tar.gz(r-4.7-arm64)gigg_0.2.1.tar.gz(r-4.7-x86_64)gigg_0.2.1.tar.gz(r-4.6-arm64)gigg_0.2.1.tar.gz(r-4.6-x86_64)
gigg_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gigg/json (API)

# Install 'gigg' in R:

install.packages('gigg', repos = c('https://umich-cphds.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/umich-cphds/gigg/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

concentrated - Example data set
distributed - Example data set

On CRAN:

openblas cpp

2.70 score 2 scripts 207 downloads 1 exports 3 dependencies

Last updated from:e2aaaf75ce. Checks:11 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	157
linux-devel-x86_64	NOTE	133
source / vignettes	OK	171
linux-release-arm64	NOTE	133
linux-release-x86_64	NOTE	171
macos-release-arm64	NOTE	123
macos-release-x86_64	NOTE	280
macos-oldrel-arm64	NOTE	87
macos-oldrel-x86_64	NOTE	201
windows-devel	NOTE	121
windows-release	NOTE	124
windows-oldrel	NOTE	125
wasm-release	OK	99