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.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://cran.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:

On CRAN:

Conda:

openblascpp

1.70 score 184 downloads 1 exports 3 dependencies

Last updated 4 years agofrom:f84b9a3af3. Checks:1 OK, 2 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-linux-x86_64NOTEMar 09 2025
R-4.4-linux-x86_64NOTEMar 09 2025

Exports:gigg

Dependencies:BHRcppRcppArmadillo