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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 gmail.com>
License:GPL-3
NeedsCompilation:no
In views:Distributions
CRAN checks:ModEstM results

Documentation:

Reference manual:ModEstM.html ,ModEstM.pdf

Downloads:

Package source: ModEstM_0.0.1.tar.gz
Windows binaries: r-devel:ModEstM_0.0.1.zip, r-release:ModEstM_0.0.1.zip, r-oldrel:ModEstM_0.0.1.zip
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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ModEstMto link to this page.


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