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foba (version 0.1)

greedy variable selection

Description

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".

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Version

Install

install.packages('foba')

Monthly Downloads

20

Version

0.1

License

GPL (>= 2)

Maintainer

Tong Zhang

Last Published

February 15th, 2017

Functions in foba (0.1)

print.foba

Print a fitted foba model
foba

Greedy variable selection for ridge regression
boston

Partial Boston Housing data
predict.foba

Make predictions or extract coefficients from a fitted foba model