lazy: Lazy Learning for Local Regression

By combining constant, linear, and quadratic local models, lazy estimates the value of an unknown multivariate function on the basis of a set of possibly noisy samples of the function itself. This implementation of lazy learning automatically adjusts the bandwidth on a query-by-query basis through a leave-one-out cross-validation.

Version: 1.2-15
Published: 2013-09-22
Author: Mauro Birattari and Gianluca Bontempi
Maintainer: Liran Lerman <llerman at ulb.ac.be>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see file COPYRIGHTS
URL: http://iridia.ulb.ac.be/~lazy
NeedsCompilation: yes
CRAN checks: lazy results

Downloads:

Reference manual: lazy.pdf
Package source: lazy_1.2-15.tar.gz
Windows binaries: r-devel: lazy_1.2-15.zip, r-release: lazy_1.2-15.zip, r-oldrel: lazy_1.2-15.zip
OS X Snow Leopard binaries: r-release: lazy_1.2-15.tgz, r-oldrel: lazy_1.2-15.tgz
OS X Mavericks binaries: r-release: lazy_1.2-15.tgz
Old sources: lazy archive

Reverse dependencies:

Reverse imports: D2C