Package: ppcc 1.2

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

ppcc_1.2.tar.gz
ppcc_1.2.tar.gz(r-4.5-noble)ppcc_1.2.tar.gz(r-4.4-noble)
ppcc_1.2.tgz(r-4.4-emscripten)ppcc_1.2.tgz(r-4.3-emscripten)
ppcc.pdf |ppcc.html✨
ppcc/json (API)
NEWS

# Install 'ppcc' in R:
install.packages('ppcc', repos = '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 155 downloads 2 exports 0 dependencies

Last updated 5 years agofrom:2d9094b444. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 17 2025
R-4.5-linux-x86_64OKMar 17 2025
R-4.4-linux-x86_64OKMar 17 2025

Exports:ppccTestppPositions

Dependencies:

Citation

To cite package ‘ppcc’ in publications use:

Pohlert T (2020). ppcc: Probability Plot Correlation Coefficient Test. R package version 1.2, https://CRAN.R-project.org/package=ppcc.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {ppcc: Probability Plot Correlation Coefficient Test},
    author = {Thorsten Pohlert},
    year = {2020},
    note = {R package version 1.2},
    url = {https://CRAN.R-project.org/package=ppcc},
  }