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".

AuthorTong Zhang <tongz@rci.rutgers.edu>
Date of publicationNone
MaintainerTong Zhang <tongz@rci.rutgers.edu>
LicenseGPL (>= 2)
Version0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("foba")

Popular man pages

boston: Partial Boston Housing data
foba: Greedy variable selection for ridge regression
predict.foba: Make predictions or extract coefficients from a fitted foba...
print.foba: Print a fitted foba model
See all...

All man pages Function index File listing

Man pages

boston: Partial Boston Housing data
foba: Greedy variable selection for ridge regression
predict.foba: Make predictions or extract coefficients from a fitted foba...
print.foba: Print a fitted foba model

Functions

Files

data
data/boston.RData
R
R/greedy.R
DESCRIPTION
NAMESPACE
man
man/boston.Rd
man/predict.foba.Rd
man/foba.Rd
man/print.foba.Rd
foba documentation built on May 19, 2017, 11:34 p.m.

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