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:
ModEstM_0.0.1.tar.gz
ModEstM_0.0.1.zip(r-4.5)ModEstM_0.0.1.zip(r-4.4)ModEstM_0.0.1.zip(r-4.3)
ModEstM_0.0.1.tgz(r-4.4-any)ModEstM_0.0.1.tgz(r-4.3-any)
ModEstM_0.0.1.tar.gz(r-4.5-noble)ModEstM_0.0.1.tar.gz(r-4.4-noble)
ModEstM_0.0.1.tgz(r-4.4-emscripten)ModEstM_0.0.1.tgz(r-4.3-emscripten)
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:a748f0f3d5. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 09 2024 |
| R-4.5-win | OK | Oct 09 2024 |
| R-4.5-linux | OK | Oct 09 2024 |
| R-4.4-win | OK | Oct 09 2024 |
| R-4.4-mac | OK | Oct 09 2024 |
| R-4.3-win | OK | Oct 09 2024 |
| R-4.3-mac | OK | Oct 09 2024 |
Exports:ModEstM
Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
