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)
Version0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("foba")

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