Package: twopexp 0.1.0

twopexp: The Two Parameter Exponential Distribution

Density, distribution function, quantile function, and random generation function, maximum likelihood estimation (MLE), penalized maximum likelihood estimation (PMLE), the quartiles method estimation (QM), and median rank estimation (MEDRANK) for the two-parameter exponential distribution. MLE and PMLE are based on Mengjie Zheng (2013)<https://scse.d.umn.edu/sites/scse.d.umn.edu/files/mengjie-thesis_masters-1.pdf>. QM is based on Entisar Elgmati and Nadia Gregni (2016)<doi:10.5539/ijsp.v5n5p12>. MEDRANK is based on Matthew Reid (2022)<doi:10.5281/ZENODO.3938000>.

Authors:Atchanut Rattanalertnusorn [aut, cre]

twopexp_0.1.0.tar.gz
twopexp_0.1.0.zip(r-4.7)twopexp_0.1.0.zip(r-4.6)twopexp_0.1.0.zip(r-4.5)
twopexp_0.1.0.tgz(r-4.6-any)twopexp_0.1.0.tgz(r-4.5-any)
twopexp_0.1.0.tar.gz(r-4.7-any)twopexp_0.1.0.tar.gz(r-4.6-any)
twopexp_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
twopexp/json (API)

# Install 'twopexp' in R:
install.packages('twopexp', repos = c('https://atchanut.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 2 scripts 187 downloads 11 exports 0 dependencies

Last updated from:fe0b8c5282. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK102
source / vignettesOK151
linux-release-x86_64OK107
macos-release-arm64OK114
macos-oldrel-arm64OK104
windows-develOK61
windows-releaseOK76
windows-oldrelOK59
wasm-releaseOK89

Exports:cdfplotdtpexpmedrankmle_tpexppdfplotpmle_tpexpptpexpqm_tpexpqtpexprtpexpsurplot

Dependencies: