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:
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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:2d9094b444. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 17 2024 |
| R-4.5-linux-x86_64 | OK | Dec 17 2024 |
Exports:ppccTestppPositions
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Goodness-of-Fit Tests using the Probability Plot Correlation Coefficient | ppcc-package ppcc |
| Probability Plot Correlation Coefficient Test | ppccTest |
| Plotting Point Positions | ppPositions |