Package: lazy
Version: 1.2-17
Date: 2022-04-05
Title: Lazy Learning for Local Regression
Author: Mauro Birattari <mauro.birattari@ulb.be> and Gianluca Bontempi
        <gianluca.bontempi@ulb.be>
Maintainer: Theo Verhelst <theo.verhelst@ulb.be>
Description: 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.
License: GPL (>= 2)
Repository: CRAN
Packaged: 2022-04-05 14:57:09 UTC; tverhels
NeedsCompilation: yes
Date/Publication: 2022-04-06 10:12:30 UTC
RoxygenNote: 6.0.1
Built: R 4.0.5; x86_64-apple-darwin17.0; 2022-04-07 10:28:20 UTC; unix
Archs: lazy.so.dSYM
