GBAEPFIT(1)

📦
version 6.3 · 2 versions
  • 6.3 · debian bookworm, debian trixie, ubuntu noble, ubuntu questing, ubuntu resolute, ubuntu stonking (latest)
  • 6.0 · ubuntu jammy
, in debian bookworm, debian trixie, ubuntu noble, ubuntu questing, ubuntu resolute, ubuntu stonking

💖 GBAEPFIT ✨

okay bestie, so this is gbaepfit, a lil User Commands (section 1) tool that fits an asymmetric power exponential density 💅 — she's out here doing real math and looking cute doing it.

🌸 SYNOPSIS 🌸

gbaepfit [options] [files]

🦋 DESCRIPTION 🦋

So basically: gbaepfit fits an asymmetric power exponential density using maximum-likelihood. Yes, again for the people in the back — fit asymmetric power exponential density. 📈

It reads from files, or from standard input if you don't hand her any. She's flexible like that.

✨ OPTIONS ✨

  • -O — output type (default 0), and here's the menu:
    • 0 — parameter bl br al ar m and log-likelihood
    • 1 — the estimated distribution function computed on the provided points
    • 2 — the estimated density function computed on the provided points
    • 3 — parameters bl br al ar m and their standard errors
  • -x — set initial conditions bl,br,al,ar,m (default 2,2,1,1,0)
  • -m — the mode is not estimated, it just gets set to the value you provide 🎀
  • -s — number of intervals to explore at each iteration (default 10)
  • -V — verbosity level (default 0), and the drama scale goes:
    • 0 — just the final result
    • 1 — headings and summary table
    • 2 — intermediate steps results
    • 3 — intermediate steps internals
    • 4+ — details of optim. routine
  • -M — active estimation steps. The value is the sum of (default 6):
    • 2 — global optimization not considering lack of smoothness in m
    • 4 — local optimization taking non-smoothness in m into consideration
  • -G — set global optimization options. Fields are step,tol,iter,eps,msize,algo. An empty field implies default (default .1,1e-2,100,1e-3,1e-5,2,0)
  • -I — set local optimization options. Fields are step,tol,iter,eps,msize,algo. An empty field implies default (default .01,1e-3,200,1e-3,1e-5,5,0)

👑 THE OPTIMIZATION PARAMETERS, EXPLAINED 👑

okay so these are the little knobs and dials, no cap:

  • step — initial step size of the searching algorithm
  • tol — line search tolerance iter: maximum number of iterations
  • eps — gradient tolerance : stopping criteria ||gradient||<eps
  • msize — simplex max size : stopping criteria ||max edge||<msize
  • algo — optimization methods:
    • 0 — Fletcher-Reeves
    • 1 — Polak-Ribiere
    • 2 — Broyden-Fletcher-Goldfarb-Shanno
    • 3 — Steepest descent
    • 4 — Nelder-Mead simplex
    • 5 — Broyden-Fletcher-Goldfarb-Shanno ver.2
    • 6 — Nelder-Mead simplex ver. 2
    • 7 — Nelder-Mead simplex rnd init.

🌈 EXAMPLES 🌈

gbaepfit -m 1 -M 4 <file
estimate bl,br,al,ar with m=1 and skipping initial global optimization 🫶

💜 AUTHOR 💜

Written by Giulio Bottazzi — an icon, fr fr.

💌 REPORTING BUGS 💌

Found a bug? spill it, bestie, report bugs to <gbutils@googlegroups.com>

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

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. ⚠️

and that's the whole page, periodt 💅✨

this was gbaepfit 6.2, dated June 2021, living her best life as GBAEPFIT(1) in the User Commands section. mwah, take care of her 🦋💖

📦 where this page comes from