ModEstM: Mode Estimation, Even in the Multimodal Case

Function ModEstM() is the only one of this package, it estimates the modes of an empirical univariate distribution. It relies on the stats::density() function, even for input control. Due to very good performance of the density estimation, computation time is not an issue. The multiple modes are handled using dplyr::group_by(). For conditions and rates of convergences, see Eddy (1980) <doi:10.1214/aos/1176345080>.

Version: 0.0.1
Depends: R (≥ 4.1)
Imports: dplyr, rlang, stats
Published: 2022-05-19
DOI: 10.32614/CRAN.package.ModEstM
Author: Jerome Collet [aut, cre]
Maintainer: Jerome Collet <jeromepcollet at>
License: GPL-3
NeedsCompilation: no
In views: Distributions
CRAN checks: ModEstM results


Reference manual: ModEstM.pdf


Package source: ModEstM_0.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ModEstM_0.0.1.tgz, r-oldrel (arm64): ModEstM_0.0.1.tgz, r-release (x86_64): ModEstM_0.0.1.tgz, r-oldrel (x86_64): ModEstM_0.0.1.tgz


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