---
name: "gbnlpanel"
section: "1"
platform: "linux"
package: "gbutils"
version: "6.3-1+b1"
release: "Debian 13 (Trixie)"
platforms: ["linux"]
url: "https://new.carta.tech/gbnlpanel"
---

# gbnlpanel(1)

Non-linear panel regression

## NAME

gbnlpanel - Non-linear panel regression

## SYNOPSIS

**gbnlpanel** \[*options*\] *\<FUN\>*

## DESCRIPTION

Each row of a block represents a single process realization. Blocks are separated by two white spaces and represent model variables, columns represent the time variable. Input is read as (X1\_\[r,t\],...,Xj\_\[r,t\],...  XN\_\[r,t\]), where r is the row, t the column and j the block. The model assumes that

FUN(X1\_\[r,t\],...,XN\_\[t,t\]) - c\_r = e\_{r,t}

with e i.i.d and 'c' arow specific element, which can be fixed (fixed effect) or a normal random variable (random effect).

## OPTIONS

- **-M**

  type of model (default 0)

- 0

  fixed effects

- 1

  random effects

- **-O**

  type of output  (default 0)

- 0

  parameters

- 1

  parameters and errors

- 2

  \<variables\> and panel statistics

- 3

  parameters and variance matrix

- **-V**

  variance matrix estimation (default 0)

- 0

  \< J^{-1} \>, computed via fully-reduced log-likelihood

- 1

  \< H^{-1} \>, computed via fully-reduced log-likelihood

- 2

  \< H^{-1} J H^{-1} \>, computed via fully-reduced log-likelihood

- 3

  \< J^{-1} \>, computed via non-reduced log-likelihood

- 4

  \< H^{-1} \>,  computed via non-reduced log-likelihood

- 5

  \< H^{-1} J H^{-1} \>, computed via non-reduced log-likelihood

- **-v**

  verbosity level (default 0)

- 0

  just results

- 1

  comment headers

- 2

  summary statistics

- 3

  covariance matrix

- 4

  minimization steps

- 5

  model definition

- **-e**

  minimization tolerance (default 1e-6)

- **-F**

  input fields separators (default " \\t")

- **-h**

  this help

- **-A**

  comma separated MLL optimization options: step,tol,iter,eps,msize,algo. Use empty fields for default. (default 0.1,0.01,500,1e-6,1e-6,0)

- step

  initial step size of the searching algorithm

- tol

  line search tolerance iter: maximum number of iterations

- eps

  gradient tolerance : stopping criteria \|\|gradient\|\|\<eps

- algo

  optimization methods: 0 Fletcher-Reeves, 1 Polak-Ribiere, 2 Broyden-Fletcher-Goldfarb-Shanno, 3 Steepest descent (not recommended), 4 simplex, 5 Broyden-Fletcher-Goldfarb-Shanno-2

## EXAMPLES

- gbnlpanel 'x1-a\*x2-c,a=0,c=0' \< data.dat

  linear panel regression with one independent variable

## 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.