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gbkreg2d - Kernel non linear regression for bivariate data

GBKREG2D(1) User Commands GBKREG2D(1)

NAME

gbkreg2d - Kernel non linear regression for bivariate data

SYNOPSIS

gbkreg2d [ options]

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

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

AUTHOR

Written by Giulio Bottazzi

REPORTING BUGS

Report bugs to <gbutils@googlegroups.com>
Package home page <http://cafim.sssup.it/~giulio/software/gbutils/index.html> Copyright © 2001-2015 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.
November 2015 gbkreg2d 5.6.7