Package: ppcc 1.3

Thorsten Pohlert

ppcc: Probability Plot Correlation Coefficient Test

Calculates the Probability Plot Correlation Coefficient (PPCC) between a continuous variable X and a specified distribution. The corresponding composite hypothesis test that was first introduced by Filliben (1975) <doi:10.1080/00401706.1975.10489279> can be performed to test whether the sample X is element of either the Normal, log-Normal, Exponential, Uniform, Cauchy, Logistic, Generalized Logistic, Gumbel (GEVI), Weibull, Generalized Extreme Value, Pearson III (Gamma 2), Mielke's Kappa, Rayleigh or Generalized Logistic Distribution. The PPCC test is performed with a fast Monte-Carlo simulation.

Authors:Thorsten Pohlert [aut, cre]

ppcc_1.3.tar.gz
ppcc_1.3.zip(r-4.7-x86_64)ppcc_1.3.zip(r-4.7-arm64)ppcc_1.3.zip(r-4.6-x86_64)ppcc_1.3.zip(r-4.6-arm64)
ppcc_1.3.tar.gz(r-4.7-arm64)ppcc_1.3.tar.gz(r-4.7-x86_64)ppcc_1.3.tar.gz(r-4.6-arm64)ppcc_1.3.tar.gz(r-4.6-x86_64)
ppcc_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ppcc/json (API)

# Install 'ppcc' in R:
install.packages('ppcc', 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.

3.60 score 4.0k scripts 342 downloads 2 exports 0 dependencies

Last updated from:78852fd528. Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK113
linux-devel-x86_64OK106
source / vignettesOK142
linux-release-arm64OK108
linux-release-x86_64OK106
windows-devel-arm64OK211
windows-devel-x86_64OK109
windows-release-arm64OK157
windows-release-x86_64OK64
wasm-releaseOK89

Exports:ppccTestppPositions

Dependencies: