Provided by: gbutils_5.7.1-1_amd64 bug


       gbmodes - Analyze multimodality in univariate data


       gbmodes [options]


       Multimodality analysis via kernel density estimation. Compute the maximal kernel bandwidth
       h_c(M) for which #(modes in the estimated density)>M.The significance of h_c  is  computed
       via  smoothed  bootstrap.  Read data from std.  input. Print the couple h_c p(h_c) and the
       modal values (set with -O).


       -n     number of equispaced points where the density is computed (default 100)

       -m     number of modes (default 1)

       -r     search range for modes; comma separated couple 'data_min,data_max'

       -s     scale the search range to [min*s+(1-s)*Max,Max*s+(1-s)*min] (default 1)

       -e     relative tolerance on h_c value (default 1e-6)

       -S     significance level (for Hall-York correction) (default .05)

       -t     number of bootstrap trials used for significance computation (default 1000)

       -R     RNG seed for bootstrap trials (default 0)

       -K     choose the kernel to use: 0 Gaussian or 1 Laplacian  (default 0)

       -v     verbose mode (more verbose if provided 2 times)

       -O     output type (default 0)

       0      h_c p(h_c) [modes locations]

       1      h_c [modes locations and heights]

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

       -h     this help


       Written by Giulio Bottazzi


       Report bugs to <>

       Package home page <>


       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.