The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| DOI: | 10.32614/CRAN.package.ModEstM |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=ModEstM to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.