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-4.7-any)ModEstM_0.0.1.zip(r-4.6-any)ModEstM_0.0.1.zip(r-4.5-any)
ModEstM_0.0.1.tgz(r-4.6-any)ModEstM_0.0.1.tgz(r-4.5-any)
ModEstM_0.0.1.tar.gz(r-4.7-any)ModEstM_0.0.1.tar.gz(r-4.6-any)
ModEstM_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:a748f0f3d5. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 90 | ||
| source / vignettes | OK | 123 | ||
| linux-release | OK | 141 | ||
| macos-release | OK | 138 | ||
| macos-oldrel | OK | 139 | ||
| windows-devel | OK | 60 | ||
| windows-release | OK | 63 | ||
| windows-oldrel | OK | 62 | ||
| wasm-release | OK | 97 |
Exports:ModEstM
Dependencies:clidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
