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".
Version: |
0.1 |
Depends: |
R (≥ 2.0.0) |
Published: |
2008-11-08 |
Author: |
Tong Zhang |
Maintainer: |
Tong Zhang <tongz at rci.rutgers.edu> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
no |
CRAN checks: |
foba results |
Downloads:
Reverse dependencies:
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