cosso (2.1-1)

0 users

Fit Regularized Nonparametric Regression Models Using COSSO Penalty..

http://www4.stat.ncsu.edu/~hzhang/cosso.html
http://cran.r-project.org/web/packages/cosso

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.

Maintainer: Chen-Yen Lin
Author(s): Hao Helen Zhang <hzhang@math.arizona.edu> and Chen-Yen Lin <clin5@ncsu.edu>

License: GPL (>= 2)

Uses: glmnet, quadprog, Rglpk

Released almost 7 years ago.


4 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of cosso yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for cosso on google, google scholar, r-help, r-devel.

Visit cosso on R Graphical Manual.