Package: dtgiw 1.1.0
dtgiw: Discrete Transmuted Generalized Inverse Weibull Distribution
The Discrete Transmuted Generalized Inverse Weibull (DTGIW) distribution is a new distribution for count data analysis. The DTGIW is a discrete distribution based on Atchanut and Sirinapa (2021). <doi:10.14456/sjst-psu.2021.149>. In addition, a function for maximum likelihood estimation of the DTGIW distribution is provided.
Authors:
dtgiw_1.1.0.tar.gz
dtgiw_1.1.0.zip(r-4.7-any)dtgiw_1.1.0.zip(r-4.6-any)dtgiw_1.1.0.zip(r-4.5-any)
dtgiw_1.1.0.tgz(r-4.6-any)dtgiw_1.1.0.tgz(r-4.5-any)
dtgiw_1.1.0.tar.gz(r-4.7-any)dtgiw_1.1.0.tar.gz(r-4.6-any)
dtgiw_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
dtgiw/json (API)
| # Install 'dtgiw' in R: |
| install.packages('dtgiw', 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:a1c3e6cc69. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 110 | ||
| source / vignettes | OK | 215 | ||
| linux-release | OK | 107 | ||
| macos-release | OK | 173 | ||
| macos-oldrel | OK | 205 | ||
| windows-devel | OK | 66 | ||
| windows-release | OK | 52 | ||
| windows-oldrel | OK | 56 | ||
| wasm-release | OK | 105 |
Exports:dDTGIWloglikeDTGIWmleDTGIWpDTGIWplotDTGIWqDTGIWrDTGIW
Dependencies:
