foba: greedy variable selection
Version 0.1

foba is a package that implements forward, backward, and foba sparse learning algorithms for ridge regression, described in the paper "Adaptive Forward-Backward Greedy Algorithm for Learning Sparse Representations".

Getting started

Package details

AuthorTong Zhang <[email protected]>
MaintainerTong Zhang <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the foba package in your browser

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

foba documentation built on May 30, 2017, 1:23 a.m.