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.

Install the latest version of this package by entering the following in R:
install.packages("lazy")
AuthorMauro Birattari <mbiro@ulb.ac.be> and Gianluca Bontempi <gbonte@ulb.ac.be>
Date of publication2013-09-22 17:33:04
MaintainerLiran Lerman <llerman@ulb.ac.be>
LicenseGPL (>= 2)
Version1.2-15
http://iridia.ulb.ac.be/~lazy

View on CRAN

Files

inst
inst/COPYING
inst/COPYRIGHTS
inst/ACKNOWLEDGMENTS
src
src/lazy.c
NAMESPACE
R
R/lazy.R
MD5
DESCRIPTION
man
man/lazy.control.Rd man/predict.lazy.Rd man/lazy.Rd
INDEX

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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