Type: Package
Package: ppcc
Version: 1.3
Date: 2026-01-09
Title: Probability Plot Correlation Coefficient Test
Authors@R: person(given = "Thorsten",
                    family = "Pohlert",
                    role = c("aut", "cre"),
                    email = "thorsten.pohlert@gmx.de",
                    comment = c(ORCID = "0000-0003-3855-3025"))
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.
Depends: R(>= 3.0.0)
Suggests: VGAM (>= 1.0), nortest(>= 1.0)
License: GPL-3
NeedsCompilation: yes
RoxygenNote: 7.3.3
Classification/MSC-2010: 62G10
Packaged: 2026-01-09 19:17:15 UTC; thorsten
Author: Thorsten Pohlert [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-3855-3025>)
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>
Repository: CRAN
Date/Publication: 2026-01-09 19:30:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 00:23:49 UTC; unix
Archs: ppcc.so.dSYM
