The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 1.2 |
| Depends: | R (≥ 3.0.0) |
| Suggests: | VGAM (≥ 1.0), nortest (≥ 1.0) |
| Published: | 2020-02-01 |
| Author: | Thorsten Pohlert |
| Maintainer: | Thorsten Pohlert <thorsten.pohlert at gmx.de> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | ppcc results |
| Reference manual: | ppcc.pdf |
| Package source: | ppcc_1.2.tar.gz |
| Windows binaries: | r-devel: ppcc_1.2.zip, r-release: ppcc_1.2.zip, r-oldrel: ppcc_1.2.zip |
| macOS binaries: | r-release (arm64): ppcc_1.2.tgz, r-oldrel (arm64): ppcc_1.2.tgz, r-release (x86_64): ppcc_1.2.tgz, r-oldrel (x86_64): ppcc_1.2.tgz |
| Old sources: | ppcc archive |
Please use the canonical form https://CRAN.R-project.org/package=ppcc to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.