Package: ModEstM
Type: Package
Title: Mode Estimation, Even in the Multimodal Case
Version: 0.0.1
Authors@R: c(
	person("Jerome", "Collet", role = c("aut", "cre"),
	email = "jeromepcollet@gmail.com"))
Description: 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>.
Depends: R (>= 4.1)
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.2
Imports: dplyr, rlang, stats
NeedsCompilation: no
Packaged: 2026-10-11 14:59:35 UTC; root
Author: Jerome Collet [aut, cre]
Maintainer: Jerome Collet <jeromepcollet@gmail.com>
Repository: https://jeromepcollet.r-universe.dev
Date/Publication: 2022-05-19 07:10:02 UTC
RemoteUrl: https://github.com/cran/ModEstM
RemoteRef: HEAD
RemoteSha: a748f0f3d5230f211ddafa5d1562c8f890548fec