Package: twopexp 1.0.0

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>. In addition, the functions for computing the Kolmogorov-Smirnov (D) statistic, the Cramér-von Mises statistic, and the Anderson–Darling statistic are provided.

Authors:Atchanut Rattanalertnusorn [aut, cre]

twopexp_1.0.0.tar.gz
twopexp_1.0.0.zip(r-4.7-any)twopexp_1.0.0.zip(r-4.6-any)twopexp_1.0.0.zip(r-4.5-any)
twopexp_1.0.0.tgz(r-4.6-any)twopexp_1.0.0.tgz(r-4.5-any)
twopexp_1.0.0.tar.gz(r-4.7-any)twopexp_1.0.0.tar.gz(r-4.6-any)
twopexp_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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 236 downloads 14 exports 0 dependencies

Last updated from:bc350115a7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK138
source / vignettesOK231
linux-releaseOK97
macos-releaseOK86
macos-oldrelOK111
windows-develOK64
windows-releaseOK54
windows-oldrelOK64
wasm-releaseOK80

Exports:ADstatcdfplotCMstatDstatdtpexpmedrankmle_tpexppdfplotpmle_tpexpptpexpqm_tpexpqtpexprtpexpsurplot

Dependencies: