foba: greedy variable selection

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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".

Author
Tong Zhang <tongz@rci.rutgers.edu>
Date of publication
None
Maintainer
Tong Zhang <tongz@rci.rutgers.edu>
License
GPL (>= 2)
Version
0.1

View on CRAN

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

Files in this package

foba
foba/data
foba/data/boston.RData
foba/R
foba/R/greedy.R
foba/DESCRIPTION
foba/NAMESPACE
foba/man
foba/man/boston.Rd
foba/man/predict.foba.Rd
foba/man/foba.Rd
foba/man/print.foba.Rd