man gbnlqreg (1): Non linear quantile regression

SYNOPSIS

gbnlqreg [options] <function definition>

DESCRIPTION

Non linear quantile regression. Read data in columns (X_1 .. X_N). The model is specified by a function f(x1,x2...) using variables names x1,x2,..,xN for the first, second .. N-th column of data. f(x1,x2,...) are assumed i.i.d.

OPTIONS

-O: type of output (default 0)
0: parameters
1: parameters and errors
2: <variables> and residuals
3: parameters and variance matrix
-V: variance matrix estimation (default 0)
: 0 <gradF gradF^t> 1 < J^{-1} > 2 < H^{-1} > 3 < H^{-1} J H^{-1} >
-q: set the quantile (default .5)
-M: choose optimization method (default 0)
0: Nelder-Mead Simplex o(N)
1: Nelder-Mead Simplex o(N^2)
-s: initial simplex scaling (default 1)
-e: minimization tolerance (default 1e-5)
-F: input fields separators (default " \t")
-h: this help
-v: verbosity level (default 0)
0: just results
1: comment headers
2: summary statistics
2: summary statistics
3: covariance matrix
4: minimization steps
5: model definition
-N: max minimization steps (default 500)

AUTHOR

Written by Giulio Bottazzi

REPORTING BUGS

Report bugs to <[email protected]>

Package home page <http://cafim.sssup.it/~giulio/software/gbutils/index.html>

COPYRIGHT

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;