biglars: 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.

AuthorMark Seligman, Chris Fraley, Tim Hesterberg
Date of publication2011-12-28 13:50:26
MaintainerMark Seligman <Mark.Seligman@insilicos.com>
LicenseGPL (>= 2)
Version1.0.2

View on CRAN

Files in this package

biglars
biglars/MD5
biglars/R
biglars/R/biglars.fit.lasso.R biglars/R/biglars.fit.lar.R biglars/R/qrBlockApply.R biglars/R/biglars.fit.R biglars/R/qrBlock.R biglars/R/biglars.fit.stepwise.R
biglars/man
biglars/man/biglars.fit.Rd biglars/man/diabetes.Rd biglars/man/qrBlockApply.Rd
biglars/DESCRIPTION
biglars/ChangeLog
biglars/data
biglars/data/diabetes.RData
biglars/src
biglars/src/rblock.f
biglars/src/rstrup.f
biglars/src/Makevars
biglars/NAMESPACE

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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