Provided by: gbutils_5.7.1-1_amd64
gbkreg2d - Kernel non linear regression for bivariate data
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
-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
Written by Giulio Bottazzi
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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.