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ModEstM
View on CRAN: Click
here
Download and install ModEstM package within the R console
Install from CRAN:
install.packages("ModEstM")
Install from Github:
library("remotes")
install_github("cran/ModEstM")
Install by package version:
library("remotes")
install_version("ModEstM", "0.0.1")
Attach the package and use:
library("ModEstM")
Maintained by
Jerome Collet
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-19
Latest Update: 2022-05-19
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) .
How to cite:
Jerome Collet (2022). ModEstM: Mode Estimation, Even in the Multimodal Case. R package version 0.0.1, https://cran.r-project.org/web/packages/ModEstM
Previous versions and publish date:
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Functions, R codes and Examples using
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Some associated functions: ModEstM .
Some associated R codes: ModEstM.R . Full ModEstM package functions and examples
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