Skip to content

ppcc

Probability Plot Correlation Coefficient Test

v1.3 · Jan 9, 2026 · GPL-3

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) <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.

Downloads

596

Last 30 days

6208th

596

Last 90 days

596

Last year

CRAN Check Status

14 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (14 non-OK)
OK r-devel-linux-x86_64-debian-clang

*


            
OK r-devel-linux-x86_64-debian-gcc

*


            
OK r-devel-linux-x86_64-fedora-clang

*


            
OK r-devel-linux-x86_64-fedora-gcc

*


            
OK r-devel-macos-arm64

*


            
OK r-devel-windows-x86_64

*


            
OK r-oldrel-macos-arm64

*


            
OK r-oldrel-macos-x86_64

*


            
OK r-oldrel-windows-x86_64

*


            
OK r-patched-linux-x86_64

*


            
OK r-release-linux-x86_64

*


            
OK r-release-macos-arm64

*


            
OK r-release-macos-x86_64

*


            
OK r-release-windows-x86_64

*


            

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Version History

new 1.3 Mar 10, 2026