Package: ModEstM 0.0.1

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>.

Authors:Jerome Collet [aut, cre]

ModEstM_0.0.1.tar.gz
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ModEstM.pdf |ModEstM.html
ModEstM/json (API)

# Install 'ModEstM' in R:
install.packages('ModEstM', repos = c('https://jeromepcollet.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 132 downloads 1 exports 16 dependencies

Last updated 3 years agofrom:a748f0f3d5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

Exports:ModEstM

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr