Package: dtgiw 1.1.0

Atchanut Rattanalertnusorn

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:Atchanut Rattanalertnusorn [cre, aut], Sirinapa Aryuyuen [aut]

dtgiw_1.1.0.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 272 downloads 7 exports 0 dependencies

Last updated from:a1c3e6cc69. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK118
source / vignettesOK127
linux-release-x86_64OK100
wasm-releaseOK88

Exports:dDTGIWloglikeDTGIWmleDTGIWpDTGIWplotDTGIWqDTGIWrDTGIW

Dependencies: