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ppcc  

Probability Plot Correlation Coefficient Test
View on CRAN: Click here


Download and install ppcc package within the R console
Install from CRAN:
install.packages("ppcc")

Install from Github:
library("remotes")
install_github("cran/ppcc")

Install by package version:
library("remotes")
install_version("ppcc", "1.3")



Attach the package and use:
library("ppcc")
Maintained by
Thorsten Pohlert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-28
Latest Update: 2020-02-01
Description:
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) 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.
How to cite:
Thorsten Pohlert (2017). ppcc: Probability Plot Correlation Coefficient Test. R package version 1.3, https://cran.r-project.org/web/packages/ppcc. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0 (2017-06-28 19:37), 1.1 (2018-12-03 01:00), 1.2 (2020-02-01 21:50)
Other packages that cited ppcc R package
View ppcc citation profile
Other R packages that ppcc depends, imports, suggests or enhances
Complete documentation for ppcc
Functions, R codes and Examples using the ppcc R package
Some associated functions: ppPositions . ppcc-package . ppccTest . 
Some associated R codes: ppPositions.R . ppcc.R . ppccTest.R .  Full ppcc package functions and examples
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