sodavis: SODA: Main and Interaction Effects Selection for Discriminant
Analysis and Logistic Regression
Variable and interaction selection are essential to classification in high-dimensional setting. In this package, we provide the implementation of SODA procedure, which is a forward-backward algorithm that selects both main and interaction effects under quadratic discriminant analysis and logistic regression model.
| Version: |
0.1 |
| Depends: |
R (≥ 3.0.0), nnet, MASS |
| Published: |
2015-11-16 |
| Author: |
Yang Li, Jun S. Liu |
| Maintainer: |
Yang Li <yli01 at fas.harvard.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
sodavis results |
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