Type: Package
Package: ppcc
Version: 1.2
Date: 2020-02-01
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 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: 7.0.2
Classification/MSC-2010: 62G10
Packaged: 2020-02-01 20:20:54 UTC; thorsten
Repository: CRAN
Date/Publication: 2020-02-01 20:50:02 UTC
Built: R 4.3.0; x86_64-apple-darwin20; 2023-04-12 04:04:31 UTC; unix
Archs: ppcc.so.dSYM
