gbkreg2d1
Kernel non linear regression for bivariate data
Usage
gbkreg2d [options]
Overview
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
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-n -
number of points where the estimation is computed (default 10)
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-f -
fraction of the support for which to print the result (default .9)
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-H -
set the kernel bandwidth explicitly
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-S -
scale the kernel bandwidth with respect to heuristic 'optimal'
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-K -
choose the kernel: 0 Epanenchnikov, 1 Rectangular, 2 Silverman type I 3 Silverman type II (default 0)
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-O -
set the output, comma separated list of m mean, v standard deviation, s skewness and k kurtosis (default m)
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-D -
switch off data de-variation procedure
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-v -
verbose mode
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-F -
specify the input fields separators (default " \t")
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-h -
this help
Releases
5 releases since Debian 9 (Stretch); the text changed 3 times.