glinternet (1.0.10)

0 users

Learning Interactions via Hierarchical Group-Lasso Regularization.

Group-Lasso INTERaction-NET. Fits linear pairwise-interaction models that satisfy strong hierarchy: if an interaction coefficient is estimated to be nonzero, then its two associated main effects also have nonzero estimated coefficients. Accommodates categorical variables (factors) with arbitrary numbers of levels, continuous variables, and combinations thereof. Implements the machinery described in the paper "Learning interactions via hierarchical group-lasso regularization" (JCGS 2015, Volume 24, Issue 3). Michael Lim & Trevor Hastie (2015) .

Maintainer: Michael Lim
Author(s): Michael Lim, Trevor Hastie

License: GPL-2

Uses: Does not use any package

Released 9 months ago.

11 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


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

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

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

Visit glinternet on R Graphical Manual.