Multimode: An R Package for Mode Assessment
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Título: | Multimode: An R Package for Mode Assessment |
Autor/a: | Ameijeiras Alonso, José Crujeiras Casais, Rosa María Rodríguez Casal, Alberto |
Centro/Departamento: | Universidade de Santiago de Compostela. Departamento de Estatística, Análise Matemática e Optimización |
Palabras chave: | Multimodality | Critical bandwidth | Excess mass | Bootstrap test | |
Data: | 2021 |
Editor: | The Foundation for Open Access Statistics |
Cita bibliográfica: | Journal of Statistical Software 2021, 97(9). http://dx.doi.org/10.18637/jss.v097.i09 |
Resumo: | 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 |
Versión do editor: | http://dx.doi.org/10.18637/jss.v097.i09 |
URI: | http://hdl.handle.net/10347/26799 |
DOI: | 10.18637/jss.v097.i09 |
ISSN: | 1548-7660 |
Dereitos: | © 2021 by the authors. This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License |
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