R package ppcc: Probability Plot Correlation Coefficient Test. 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.
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References in zbMATH (referenced in 1 article )
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- Sánchez-Espigares, José A.; Grima, Pere; Marco-Almagro, Lluís: Graphical comparison of normality tests for unimodal distribution data (2019)