search for: madigan

Hello list, I've been searching around trying to find whether somebody has written such a package of least angle regression on generalized linear models, like what Lasso2 package does. The extension to generalized linear models is briefly discussed in the comment by D. Madigan and G. Ridgeway. Is such a package available? Thanks, Mike [[alternative HTML version deleted]]

Hi, Is there an R implementation of least angle regression for binary response modeling? I know that this question has been asked before, and I am also aware of the "lasso2" package, but that only implements an L1 penalty, i.e. the Lasso approach. Madigan and Ridgeway in their discussion of Efron et al (2004) describe a LARS-type algorithm for generalized linear models. Has anyone implemented this in R? Thanks for any help. Best, Ravi ---------------------------------------------------------------------------- ------- Ravi Varadhan...

R-packages leaps and subselect implement various methods of selecting best or good subsets of predictor variables for linear regression models, but they do not seem to be applicable to logistic regression models. Does anyone know of software for finding good subsets of predictor variables for linear regression models? Thanks. -Ben p.s., The leaps package references "Subset Selection

All: I am trying to fit a mixture of 2 normals with > 110 million observations. I am running R 2.5.1 on a box with 1gb RAM running 32-bit windows and I continue to run out of memory. Does anyone have any suggestions. Thanks so much, Tim [[alternative HTML version deleted]]

...Is there an R implementation of least angle regression for binary response > > modeling? I know that this question has been asked before, and I am also > > aware of the "lasso2" package, but that only implements an L1 penalty, i.e. > > the Lasso approach. > > > Madigan and Ridgeway in their discussion of Efron et al (2004) describe a > > LARS-type algorithm for generalized linear models. Has anyone implemented > > this in R? -------------------- This email message is for the sole use of the intended recip...{{dropped}}

...* cumplyr (0.1-1) Maintainer: John Myles White Author(s): John Myles White License: MIT http://crantastic.org/packages/cumplyr Extends ddply to allow calculation of cumulative quantities. * dma (1.1) Maintainer: Tyler H. McCormick Author(s): Tyler H. McCormick, Adrian Raftery, David Madigan License: GPL-2 http://crantastic.org/packages/dma Dynamic model averaging for binary and continuous outcomes. * fanc (0.18) Maintainer: Kei Hirose Author(s): Kei Hirose, Michio Yamamoto License: GPL (>= 2) http://crantastic.org/packages/fanc This package computes the penalized...