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: 2026-10-16 09:59:47 UTC; root
Author: Thorsten Pohlert [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-3855-3025>)
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-01-09 19:30:02 UTC
RemoteUrl: https://github.com/cran/ppcc
RemoteRef: HEAD
RemoteSha: 78852fd52812e584b220eb6273917d8f19dc8569