theandyb/aeffp: Lasso-penalized Logistic Regression via ADMM

This is an Rcpp implementation of the lasso-penalized logistic regression fit via the ADMM algorithm. This is inspired by Stephen Boyd's matlab implementation (http://web.stanford.edu/~boyd/papers/admm/logreg-l1/logreg.html).

Getting started

Package details

AuthorAndy Beck
MaintainerAndy Beck <beckandy@umich.edu>
LicenseGPL-3
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("theandyb/aeffp")
theandyb/aeffp documentation built on May 8, 2019, 9:09 a.m.