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  "Description": "Calculates the Probability Plot Correlation Coefficient\n(PPCC) between a continuous variable X and a specified\ndistribution. The corresponding composite hypothesis test that\nwas first introduced by Filliben (1975) <doi:\n10.1080/00401706.1975.10489279> can be performed to test\nwhether the sample X is element of either the Normal,\nlog-Normal, Exponential, Uniform, Cauchy, Logistic, Generalized\nLogistic, Gumbel (GEVI), Weibull, Generalized Extreme Value,\nPearson III (Gamma 2), Mielke's Kappa, Rayleigh or Generalized\nLogistic Distribution. The PPCC test is performed with a fast\nMonte-Carlo simulation.",
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