Package: mogiw 0.1.0
mogiw: The Marshal–Olkin Generalized Inverse Weibull Distribution
Density, distribution function, quantile function, and random generation function based on Salem, H. M. (2019)<doi:10.5539/mas.v13n2p54>. In addition, a numerical method for maximum likelihood estimation is provided.
Authors:
mogiw_0.1.0.tar.gz
mogiw_0.1.0.zip(r-4.7-any)mogiw_0.1.0.zip(r-4.6-any)mogiw_0.1.0.zip(r-4.5-any)
mogiw_0.1.0.tgz(r-4.6-any)mogiw_0.1.0.tgz(r-4.5-any)
mogiw_0.1.0.tar.gz(r-4.7-any)mogiw_0.1.0.tar.gz(r-4.6-any)
mogiw_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mogiw/json (API)
| # Install 'mogiw' in R: |
| install.packages('mogiw', repos = c('https://atchanut.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:116a5d9b36. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 108 | ||
| source / vignettes | OK | 151 | ||
| linux-release | OK | 93 | ||
| macos-release | OK | 86 | ||
| macos-oldrel | OK | 89 | ||
| windows-devel | OK | 62 | ||
| windows-release | OK | 61 | ||
| windows-oldrel | OK | 47 | ||
| wasm-release | OK | 77 |
Exports:dMOGIWmleMOGIWpMOGIWqMOGIWrMOGIW
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Numerical method for maximum likelihood estimation | mleMOGIW |
| Marshall–Olkin Generalized Inverse Weibull Distribution (MOGIW) | dMOGIW MOGIW pMOGIW qMOGIW rMOGIW |