gbkreg2d - Kernel non linear regression for bivariate data

**gbkreg2d** [

*options*]

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

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.