COSSO is a new regularization method that automatically estimates and selects important function components by a soft-thresholding penalty in the context of smoothing spline ANOVA models. Implemented models include mean regression, quantile regression, logistic regression and the Cox regression models.
| Version: | 2.1-1 |
| Depends: | quadprog, Rglpk, parallel, glmnet |
| Published: | 2013-03-11 |
| Author: | Hao Helen Zhang and Chen-Yen Lin |
| Maintainer: | Chen-Yen Lin <clin5 at ncsu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www4.stat.ncsu.edu/~hzhang/cosso.html |
| NeedsCompilation: | no |
| CRAN checks: | cosso results |
| Reference manual: | cosso.pdf |
| Package source: | cosso_2.1-1.tar.gz |
| Windows binaries: | r-devel: cosso_2.1-1.zip, r-release: cosso_2.1-1.zip, r-oldrel: cosso_2.1-1.zip |
| macOS binaries: | r-release: cosso_2.1-1.tgz, r-oldrel: cosso_2.1-1.tgz |
| Old sources: | cosso archive |
Please use the canonical form https://CRAN.R-project.org/package=cosso to link to this page.