pass (1.0)

0 users

Prediction and Stability Selection of Tuning Parameters.

http://cran.r-project.org/web/packages/pass

To implement two methods, Kappa and PASS, for selecting tuning parameters in regularized procedures such as LASSO, SCAD, adaptive LASSO, aiming for variable selection in regularized regression

Maintainer: Yixin Fang
Author(s): Yixin Fang, Wei Sun, Junhui Wang

License: GPL-2

Uses: lars, MASS, ncvreg

Released almost 7 years ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

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


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


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

Visit pass on R Graphical Manual.