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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.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:

Please use the canonical form https://CRAN.R-project.org/package=lazy to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.