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;

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.