CRAN/E | ppcc

ppcc

Probability Plot Correlation Coefficient Test

Installation

About

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.

Key Metrics

Version 1.2
R ≥ 3.0.0
Published 2020-02-01 1545 days ago
Needs compilation? yes
License GPL-3
CRAN checks ppcc results

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Maintainer

Maintainer

Thorsten Pohlert

thorsten.pohlert@gmx.de

Authors

Thorsten Pohlert

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ppcc archive

Depends

R ≥ 3.0.0

Suggests

VGAM ≥ 1.0
nortest ≥ 1.0