Package: lazy 1.2-18

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.

Authors:Mauro Birattari <[email protected]> and Gianluca Bontempi <[email protected]>

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lazy.pdf |lazy.html✨
lazy/json (API)

# Install 'lazy' in R:
install.packages('lazy', repos = c('https://theoverhelst.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.60 score 20 scripts 371 downloads 6 exports 0 dependencies

Last updated 2 years agofrom:a6b6c55f02. Checks:9 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 20 2025
R-4.5-win-x86_64NOTEMar 20 2025
R-4.5-mac-x86_64NOTEMar 20 2025
R-4.5-mac-aarch64NOTEMar 20 2025
R-4.5-linux-x86_64OKMar 20 2025
R-4.4-win-x86_64OKMar 20 2025
R-4.4-mac-x86_64OKMar 20 2025
R-4.4-mac-aarch64OKMar 20 2025
R-4.4-linux-x86_64OKMar 20 2025
R-4.3-win-x86_64OKMar 20 2025
R-4.3-mac-x86_64OKMar 20 2025
R-4.3-mac-aarch64OKMar 20 2025

Exports:lazylazy.controlpredict.lazyprint.lazyprint.summary.lazysummary.lazy

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Lazy learning for local regressionlazy print.lazy print.summary.lazy summary.lazy
Set parameters for lazy learninglazy.control
Predict method for lazy learningpredict.lazy