Other packages > Find by keyword >

SSGL  

Spike-and-Slab Group Lasso for Group-Regularized Generalized Linear Models
View on CRAN: Click here


Download and install SSGL package within the R console
Install from CRAN:
install.packages("SSGL")

Install from Github:
library("remotes")
install_github("cran/SSGL")

Install by package version:
library("remotes")
install_version("SSGL", "2.0")



Attach the package and use:
library("SSGL")
Maintained by
Ray Bai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-27
Latest Update: 2025-03-24
Description:
Fits group-regularized generalized linear models (GLMs) using the spike-and-slab group lasso (SSGL) prior introduced by Bai et al. (2022) <doi:10.1080/01621459.2020.1765784> and extended to GLMs by Bai (2023) <doi:10.48550/arXiv.2007.07021>. This package supports fitting the SSGL model for the following GLMs with group sparsity: Gaussian linear regression, binary logistic regression, Poisson regression, negative binomial regression, and gamma regression. Stand-alone functions for group-regularized negative binomial regression and group-regularized gamma regression are also available, with the option of employing the group lasso penalty of Yuan and Lin (2006) <doi:10.1111/j.1467-9868.2005.00532.x>, the group minimax concave penalty (MCP) of Breheny and Huang <doi:10.1007/s11222-013-9424-2>, or the group smoothly clipped absolute deviation (SCAD) penalty of Breheny and Huang (2015) <doi:10.1007/s11222-013-9424-2>.
How to cite:
Ray Bai (2023). SSGL: Spike-and-Slab Group Lasso for Group-Regularized Generalized Linear Models. R package version 2.0, https://cran.r-project.org/web/packages/SSGL. Accessed 13 Sep. 2026.
Previous versions and publish date:
(2026-07-09 08:25), 1.0 (2023-06-27 18:40)
Other packages that cited SSGL R package
View SSGL citation profile
Other R packages that SSGL depends, imports, suggests or enhances
Complete documentation for SSGL
Functions, R codes and Examples using the SSGL R package
Full SSGL package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

oii  
Crosstab and Statistical Tests for OII MSc Stats Course
Provides simple crosstab output with optional statistics (e.g., Goodman-Kruskal Gamma, Somers' d, an ...
Download / Learn more Package Citations See dependency  
TSEwgt  
Total Survey Error Under Multiple, Different Weighting Schemes
Calculates total survey error (TSE) for a survey under multiple, different weighting schemes, using ...
Download / Learn more Package Citations See dependency  
saeMSPE  
Computing MSPE Estimates in Small Area Estimation
We describe a new R package entitled 'saeMSPE' for the well-known Fay Herriot model and nested error ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
cmdfun  
Framework for Building Interfaces to Shell Commands
Writing interfaces to command line software is cumbersome. 'cmdfun' provides a framework for buildi ...
Download / Learn more Package Citations See dependency  
tvmComp  
Discounting and Compounding Calculations for Various Scenarios
Functions for compounding and discounting calculations included here serve as a complete reference f ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,481

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA