Provided by: gbutils_5.7.1-1_amd64 bug

NAME

       gbker2d - Kernel density estimate for bivariate data

SYNOPSIS

       gbker2d [options]

DESCRIPTION

       2D  kernel  density estimation on an equispaced grid. Data are read from standard input as
       couple  (x,y).  The  kernel  bandwidth  if  not  provided  with  the  option  -H  is   set
       automatically. Different bandwidths can be specified for x and y.

OPTIONS

       -n     number  of  points  where  the  density  is  computed (default 10) use comma (,) to
              specify different values for x and y components

       -H     set the kernel bandwidth explicitly; use comma (,) to specify different values  for
              x and y components

       -S     scale  the kernel bandwidth with respect to euristic 'optimal' value; use comma (,)
              to specify different values for x and y components

       -K     choose the kernel to use: 0: Epanenchnikov 1: Rectangular 2: Silverman  type  1  3:
              Silverman type 2 (default 0)

       -D     switch off data de-variation procedure

       -v     verbose mode

       -F     specify the input fields separators (default " \t")

       -h     this help

EXAMPLES

       gbker2d -n 10,20 -K 1 < file
              compute the kernel on an equispaced grid 10x20 using a rectangular kernel

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

       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.