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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3 |
rolling linux/jammy R-4.5 | ppcc_1.3.tar.gz |
41.2 KiB |
1.3 |
rolling linux/noble R-4.5 | ppcc_1.3.tar.gz |
41.2 KiB |
1.3 |
rolling source/ R- | ppcc_1.3.tar.gz |
15.7 KiB |
1.3 |
latest linux/jammy R-4.5 | ppcc_1.3.tar.gz |
41.2 KiB |
1.3 |
latest linux/noble R-4.5 | ppcc_1.3.tar.gz |
41.2 KiB |
1.3 |
latest source/ R- | ppcc_1.3.tar.gz |
15.7 KiB |
1.3 |
2026-04-26 source/ R- | ppcc_1.3.tar.gz |
15.7 KiB |
1.3 |
2026-04-23 source/ R- | ppcc_1.3.tar.gz |
15.7 KiB |
1.3 |
2026-04-09 windows/windows R-4.5 | ppcc_1.3.zip |
47.8 KiB |
1.2 |
2025-04-20 source/ R- | ppcc_1.2.tar.gz |
15.5 KiB |