Type: Package
Package: ppcc
Version: 1.0
Date: 2017-06-27
Title: Probability Plot Correlation Coefficient Test
Author: Thorsten Pohlert
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>
Description: Calculates the Probability Plot Correlation Coefficient (PPCC) 
             between a continuous variable X and a specified distribution. The corresponding 
	     composite hypothesis test can be done 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: 6.0.1
Classification/MSC-2010: 62G10
Packaged: 2017-06-28 17:21:45 UTC; thorsten
Repository: CRAN
Date/Publication: 2017-06-28 17:37:52 UTC
