Location of Repository

License GPL-2

By Torsten Hothorn, Peter Buehlmann, Thomas Kneib, Matthias Schmid and Benjamin Hofner

Abstract

Description Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data. Depends R (> = 2.9.0), methods, stat

Topics: Imports Matrix, survival, splines, lattice Suggests multicore, party (> = 0.9-9993, ipred, MASS LazyLoad yes LazyData yes
Year: 2010
OAI identifier: oai:CiteSeerX.psu:10.1.1.161.2583
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://cran.r-project.org/web/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.