IterativeHardThresholding: Iterative Hard Thresholding Extensions to Cyclops

Fits large-scale regression models with a penalty that restricts the maximum number of non-zero regression coefficients to a prespecified value. While Chu et al (2020) <doi:10.1093/gigascience/giaa044> describe the basic algorithm, this package uses Cyclops for an efficient implementation.

Getting started

Package details

AuthorMarc A. Suchard [aut, cre], Patrick Ryan [aut], Observational Health Data Sciences and Informatics [cph]
MaintainerMarc A. Suchard <msuchard@ucla.edu>
LicenseApache License 2.0
Version1.0.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("IterativeHardThresholding")

Try the IterativeHardThresholding package in your browser

Any scripts or data that you put into this service are public.

IterativeHardThresholding documentation built on Sept. 8, 2022, 9:07 a.m.