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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 |
| Reference manual: | ModEstM.pdf |
| 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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These binaries (installable software) and packages are in development.
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