biglars (1.0.2)

0 users

Scalable Least-Angle Regression and Lasso.

Least-angle regression, lasso and stepwise regression for numeric datasets in which the number of observations is greater than the number of predictors. The functions can be used with the ff library to accomodate datasets that are too large to be held in memory.

Maintainer: Mark Seligman
Author(s): Mark Seligman, Chris Fraley, Tim Hesterberg

License: GPL (>= 2)

Uses: ff

Released over 7 years ago.

2 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


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

Related packages: GAMBoost, Matching, biglm, bnlearn, caret, ff, inline, latentnet, lga, nws, pls, proftools, pvclust, rJava, rgenoud, rlecuyer, rstream, snowFT, snow, sqldf(20 best matches, based on common tags.)

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

Visit biglars on R Graphical Manual.