Installation
About
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 logistic regression and quadratic discriminant analysis. We also provide an extension, S-SODA, for dealing with the variable selection problem for semi-parametric models with continuous responses.
Key Metrics
Downloads
Yesterday | 13 +117% |
Last 7 days | 38 +9% |
Last 30 days | 151 -8% |
Last 90 days | 483 -36% |
Last 365 days | 2.184 -19% |