Title: Generalized Boosted Regression Models
Depends: R (>= 1.6.0), survival, lattice, modreg
Description: This package implements extensions
to Freund and Schapire's AdaBoost algorithm and J. Friedman's
gradient boosting machine. Includes regression methods for least
squares, absolute loss, logistic, Poisson, Cox proportional hazards
partial likelihood, and AdaBoost exponential loss.

Depends: R (>= 1.8.0), survival, lattice, modreg

Depends: R (>= 1.8.0), survival, lattice
Packaged: Thu Jun 24 15:15:35 2004; gregr

Depends: R (>= 1.9.0), survival, lattice
Packaged: Wed Nov  3 18:10:15 2004; gregr

Packaged: Mon Nov  8 21:56:27 2004; gregr

Depends: R (>= 2.0.1), survival, lattice
Packaged: Thu Mar 31 08:53:17 2005; hornik

Depends: R (>= 2.1.0), survival, lattice
Packaged: Thu Jun  2 09:52:54 2005; hornik

Packaged: Thu Oct  6 14:29:57 2005; gregr

Depends: R (>= 2.1.0), survival, lattice, mgcv
Packaged: Fri Jan 20 16:07:46 2006; gregr

Packaged: Sat Apr 15 09:21:12 2006; gregr

Packaged: Mon May  9 07:25:27 2005; gregr

Depends: R (>= 2.5.0), survival, lattice, splines
to Freund and Schapire's AdaBoost algorithm and Friedman's
squares, absolute loss, quantile regression, logistic, Poisson,
Cox proportional hazards partial likelihood, and AdaBoost
Packaged: Wed Jun 13 13:46:23 2007; gregr

Packaged: Thu Jun 21 11:03:51 2007; gregr

Description: This package implements extensions to Freund and
Schapire's AdaBoost algorithm and Friedman's gradient boosting
machine. Includes regression methods for least squares,
absolute loss, quantile regression, logistic, Poisson, Cox
proportional hazards partial likelihood, and AdaBoost

Depends: R (>= 2.12.0), survival, lattice, splines
X-CRAN-Comment: Orpahaned on 2013-12-09 as the maintainer address has

Packaged: Fri Aug  3 16:22:30 2007; gregr

Author: Greg Ridgeway <gregr@rand.org> with contributions from others
Depends: R (>= 2.9.0), survival, lattice, splines
absolute loss, t-distribution loss, quantile regression,
logistic, multinomial logistic, Poisson, Cox proportional
hazards partial likelihood, AdaBoost exponential loss,
Huberized hinge loss, and Learning to Rank measures