gbkreg2d - Kernel non linear regression for bivariate data
Contents
Copyright
Copyright © 2001-2018 Giulio Bottazzi This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License (version 2) as published by the Free Software
Foundation;
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
License for more details.
gbkreg2d 6.2 June 2021 GBKREG2D(1)
Description
2D kernel estimation of conditional moments. Data are read from standard input as triplet (x,y,z). The
moments of z are computed on a regular grid in x and y The kernel bandwidth if not provided with the
option -H is set automatically. Different bandwidths can be specified for x and y. Different moments are
given in different data block. Options -n, -f, -H and -S accept comma separated values to specify
different values for x and y components
Name
gbkreg2d - Kernel non linear regression for bivariate data
Options
-n number of points where the estimation is computed (default 10)
-f fraction of the support for which to print the result (default .9)
-H set the kernel bandwidth explicitly
-S scale the kernel bandwidth with respect to heuristic 'optimal'
-K choose the kernel: 0 Epanenchnikov, 1 Rectangular, 2 Silverman type I 3 Silverman type II (default
0)
-O set the output, comma separated list of m mean, v standard deviation, s skewness and k kurtosis
(default m)
-D switch off data de-variation procedure
-v verbose mode
-F specify the input fields separators (default " \t")
-h this help
Reporting Bugs
Report bugs to <gbutils@googlegroups.com>
Package home page <http://cafim.sssup.it/~giulio/software/gbutils/index.html>
Synopsis
gbkreg2d [options]
