  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
nonparametric approaches for determining the number of modes and their
estimated location. Specifically, some graphical tools, allowing for the
identification of mode patterns, based on the kernel density estimation are
provided (SiZer map, mode tree or mode forest). 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.
