Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Gerhard Kurz, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck, Reinhold Haeb-Umbach, Roland Y. Siegwart
Title: Directional Statistics and Filtering Using libDirectional
Abstract: In this paper, we present libDirectional, a MATLAB library for directional statistics and directional estimation. It supports a variety of commonly used distributions on the unit circle, such as the von Mises, wrapped normal, and wrapped Cauchy distributions. Furthermore, various distributions on higher-dimensional manifolds such as the unit hypersphere and the hypertorus are available. Based on these distributions, several recursive filtering algorithms in libDirectional allow estimation on these manifolds. The functionality is implemented in a clear, well-documented, and object-oriented structure that is both easy to use and easy to extend.

Page views:: 2685. Submitted: 2016-01-08. Published: 2019-05-09.
Paper: Directional Statistics and Filtering Using libDirectional     Download PDF (Downloads: 1039)
Supplements: MATLAB source package Download (Downloads: 49; 1MB)
v89i04.m: MATLAB replication code Download (Downloads: 80; 4KB)
saveFigure.m: MATLAB source code Download (Downloads: 65; 1KB)

DOI: 10.18637/jss.v089.i04

This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.