foba v0.1

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greedy variable selection

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".

Functions in foba

Name Description
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
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Details

Date 2008-10-15
License GPL (>= 2)
Packaged Sat Nov 8 10:22:33 2008; hornik

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