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: Jose Ameijeiras-Alonso, Rosa M. Crujeiras, Alberto Rodriguez-Casal
Title: multimode: An R Package for Mode Assessment
Abstract: In several applied fields, multimodality assessment is a crucial task as a previous exploratory tool or for determining the suitability of certain distributions. The goal of this paper is to present the utilities of the R package multimode, which collects different exploratory and testing non-parametric approaches for determining the number of modes and their estimated location. Specifically, some graphical tools (SiZer map, mode tree or mode forest) are provided, allowing for the identification of mode patterns, based on the kernel density estimation. Several formal testing procedures for determining the number of modes are described in this paper and implemented in the multimode package, including methods based on the ideas of the critical bandwidth, the excess mass or using a combination of both. This package also includes a function for estimating the modes locations and different classical data examples that have been considered in mode testing literature.

Page views:: 781. Submitted: 2018-04-27. Published: 2021-03-22.
Paper: multimode: An R Package for Mode Assessment     Download PDF (Downloads: 258)
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multimode_1.5.tar.gz: R source package Download (Downloads: 20; 42KB)
v97i09.R: R replication code Download (Downloads: 30; 17KB)

DOI: 10.18637/jss.v097.i09

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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.