KRLS

Package: KRLS
Type: Package
Title: Kernel-based Regularized Least squares (KRLS)
Version: 0.3-7
Date: 2014-05-21
Author: Jens Hainmueller (Stanford) Chad Hazlett (UCLA)
Maintainer: Jens Hainmueller <jhain@stanford.edu>
Description: 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).
License: GPL (>= 2)
Suggests: lattice
URL: http://www.r-project.org, http://www.stanford.edu/~jhain/
Packaged: 2014-05-21 17:22:17 UTC; jhainmueller
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-21 21:21:47

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'KRLS' ...
** package 'KRLS' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'KRLS'
    finding HTML links ... done
    fdskrls                                 html  
    gausskernel                             html  
    krls                                    html  
    lambdasearch                            html  
    looloss                                 html  
    plot.krls                               html  
    predict.krls                            html  
    solveforc                               html  
    summary.krls                            html  
** building package indices
** testing if installed package can be loaded
* DONE (KRLS)
Making 'packages.html' ... done