KRLS (0.3-2)

Kernel-based Regularized Least Squares (KRLS).

URL: http://www.r-project.org
http://www.mit.edu/~jhainm/
http://cran.r-project.org/web/packages/KRLS

Package implements Kernel-based Regularized Least Squares (KRLS), a machine learning method to fit multidimensional functions for regression and classification problems without relying on linearity or additivity assumptions. This package is currently in alpha phase (feedback is appreciated).

Maintainer: Jens Hainmueller
Author(s): Jens Hainmueller (MIT) Chad Hazlett (MIT)

License: GPL (>= 2)

Uses: lattice
Reverse suggests: caret, fscaret

Released over 6 years ago.