swMATH ID: 23167
Software Authors: Jens Hainmueller, Chad Hazlett
Description: R package KRLS: Kernel-Based Regularized Least Squares. Package implements Kernel-based Regularized Least Squares (KRLS), a machine learning method to fit multidimensional functions y=f(x) for regression and classification problems without relying on linearity or additivity assumptions. KRLS finds the best fitting function by minimizing the squared loss of a Tikhonov regularization problem, using Gaussian kernels as radial basis functions. For further details see Hainmueller and Hazlett (2014).
Homepage: https://cran.r-project.org/web/packages/KRLS/index.html
Source Code:  https://github.com/cran/KRLS
Dependencies: R
Keywords: machine learning; regression; classification; prediction; Stata; R; Journal of Statistical Software; R package
Related Software: R; Stata
Cited in: 1 Document

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