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foba: 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".
Getting started
Browse package contents
Package details |
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| Author | Tong Zhang <tongz@rci.rutgers.edu> |
| Maintainer | Tong Zhang <tongz@rci.rutgers.edu> |
| License | GPL (>= 2) |
| Version | 0.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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