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: 1.2-16
Published: 2018-07-20
Author: Mauro Birattari and Gianluca Bontempi
Maintainer: Gianluca Bontempi <gbonte at ulb.ac.be>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
CRAN checks: lazy results

Downloads:

Reference manual: lazy.pdf
Package source: lazy_1.2-16.tar.gz
Windows binaries: r-devel: lazy_1.2-16.zip, r-release: lazy_1.2-16.zip, r-oldrel: lazy_1.2-16.zip
OS X binaries: r-release: lazy_1.2-16.tgz, r-oldrel: lazy_1.2-16.tgz
Old sources: lazy archive

Reverse dependencies:

Reverse imports: D2C

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