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 | |
| No Results! | ||
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Details
| Date | 2008-10-15 |
| License | GPL (>= 2) |
| Packaged | Sat Nov 8 10:22:33 2008; hornik |
| depends | base (>= 2.0.0) , R (>= 2.0.0) |
| Contributors | Tong Zhang |
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[](http://www.rdocumentation.org/packages/foba)