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 can be done 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: 1.0
Depends: R (≥ 3.0.0)
Suggests: VGAM (≥ 1.0), nortest (≥ 1.0)
Published: 2017-06-28
Author: Thorsten Pohlert
Maintainer: Thorsten Pohlert <thorsten.pohlert at gmx.de>
License: GPL-3
NeedsCompilation: yes
CRAN checks: ppcc results


Reference manual: ppcc.pdf
Package source: ppcc_1.0.tar.gz
Windows binaries: r-devel: ppcc_1.0.zip, r-release: ppcc_1.0.zip, r-oldrel: ppcc_1.0.zip
OS X El Capitan binaries: r-release: ppcc_1.0.tgz
OS X Mavericks binaries: r-oldrel: ppcc_1.0.tgz


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