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
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.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

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