RT Journal Article
T1 Multimode: An R Package for Mode Assessment
A1 Ameijeiras Alonso, José
A1 Crujeiras Casais, Rosa María
A1 Rodríguez Casal, Alberto
K1 Multimodality
K1 Critical bandwidth
K1 Excess mass
K1 Bootstrap test
AB 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
PB The Foundation for Open Access Statistics
SN 1548-7660
YR 2021
FD 2021
LK http://hdl.handle.net/10347/26799
UL http://hdl.handle.net/10347/26799
LA eng
NO Journal of Statistical Software 2021, 97(9). http://dx.doi.org/10.18637/jss.v097.i09
NO The authors gratefully acknowledge the support of Project MTM2016–76969–P from the Spanish State Research Agency (AEI) co-funded by the European Regional Development Fund (ERDF), the Competitive Reference Groups 2017–2020 (ED431C 2017/38) from the Xunta de Galicia through the ERDF. Work of J. Ameijeiras-Alonso has been supported by the FWO research project G.0826.15N (Flemish Science Foundation), GOA/12/014 project (Research Fund KU Leuven) and was partially supported by the grant BES–2014–071006 from the Spanish Ministry of Science, Innovation and Universities
DS Minerva
RD 24 abr 2026