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-4.5)gigg_0.2.1.zip(r-4.4)gigg_0.2.1.zip(r-4.3)
gigg_0.2.1.tgz(r-4.4-x86_64)gigg_0.2.1.tgz(r-4.4-arm64)gigg_0.2.1.tgz(r-4.3-x86_64)gigg_0.2.1.tgz(r-4.3-arm64)
gigg_0.2.1.tar.gz(r-4.5-noble)gigg_0.2.1.tar.gz(r-4.4-noble)
gigg_0.2.1.tgz(r-4.4-emscripten)gigg_0.2.1.tgz(r-4.3-emscripten)
gigg.pdf |gigg.html✨
gigg/json (API)

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

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

openblascpp

2.70 score 1 scripts 187 downloads 1 exports 3 dependencies

Last updated 3 years agofrom:e2aaaf75ce. Checks:4 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 25 2025
R-4.5-win-x86_64NOTEJan 25 2025
R-4.5-linux-x86_64NOTEJan 25 2025
R-4.4-win-x86_64NOTEJan 25 2025
R-4.4-mac-x86_64NOTEJan 25 2025
R-4.4-mac-aarch64NOTEJan 25 2025
R-4.3-win-x86_64OKJan 25 2025
R-4.3-mac-x86_64OKJan 25 2025
R-4.3-mac-aarch64OKJan 25 2025

Exports:gigg

Dependencies:BHRcppRcppArmadillo