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:	1.2-18
Published:	2022-10-21
DOI:	10.32614/CRAN.package.lazy
Author:	Mauro Birattari and Gianluca Bontempi
Maintainer:	Theo Verhelst <theo.verhelst at ulb.be>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright:	see file COPYRIGHTS
NeedsCompilation:	yes
CRAN checks:	lazy results

Documentation:

Reference manual:

lazy.html , lazy.pdf

Downloads:

Package source:	lazy_1.2-18.tar.gz
Windows binaries:	r-devel: lazy_1.2-18.zip, r-release: lazy_1.2-18.zip, r-oldrel: lazy_1.2-18.zip
macOS binaries:	r-release (arm64): lazy_1.2-18.tgz, r-oldrel (arm64): lazy_1.2-18.tgz, r-release (x86_64): lazy_1.2-18.tgz, r-oldrel (x86_64): lazy_1.2-18.tgz
Old sources:	lazy archive

Linking:

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