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  • 标题:multimode: An R Package for Mode Assessment
  • 本地全文:下载
  • 作者:Jose Ameijeiras-Alonso ; Rosa M. Crujeiras ; Alberto Rodriguez-Casal
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2021
  • 卷号:97
  • 期号:1
  • 页码:1-32
  • DOI:10.18637/jss.v097.i09
  • 出版社:University of California, Los Angeles
  • 摘要: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.
  • 关键词:multimodality; critical bandwidth; excess mass; bootstrap test.
  • 其他关键词:multimodality;critical bandwidth;excess mass;bootstrap test
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