ParetoPosStable (version 1.0.1)

ParetoPosStable-package: Computing, fitting and validating the Pareto Positive Stable distribution

Description

Statistical functions to describe a Pareto Positive Stable distribution and fit it to real data. Graphical and statistical tools to validate the fits are included.

Details

ll{ Package: ParetoPosStable Type: Package Version: 1.0.1 Date: 2014-01-07 License: GPL-3 }

References

Sarabia, J.M and Prieto, F. (2009). The Pareto-positive stable distribution: A new descriptive model for city size data, Physica A: Statistical Mechanics and its Applications, 388(19), 4179-4191.

Examples

x <- rPPS(50, 1.2, 100, 2.3)
fit <- PPS.fit(x)
print(fit)
coef(fit)
se.PPSfit(fit, k = 50, show.iters = FALSE)
logLik(fit)
par(mfrow=c(2,2))
plot(fit)
GoF.PPSfit(fit, k = 50, show.iters = FALSE)