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.
|Author||Hao Helen Zhang <email@example.com> and Chen-Yen Lin <firstname.lastname@example.org>|
|Date of publication||2013-03-11 07:44:02|
|Maintainer||Chen-Yen Lin <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.