Description Usage Arguments Details Value References See Also Examples

Kolmogorov-Smirnov, Anderson-Darling and PPS goodness of fit tests to validate a PPS fit (typically from `PPS.fit()`

).

1 |

`PPSfit` |
A |

`k` |
The number of iterations in the bootstrap procedure to approximate the p-values. |

`parallel` |
A logical argument specifying if parallelization is allowed in the bootstrap iteration procedure. |

`ncores` |
is the number of cores that we use if parallel is TRUE. |

`...` |
Other arguments. |

It returns the Kolmogorov-Smirnov, the Anderson-Darling tests and a specific test for PPS distributions. p-values are approximated by a bootstrap procedure. The specific goodness of fit test for PPS distributions is based on the linearity of the survival function vs. the scaled observations in a double log-log scale (see Sarabia and Prieto, 2009).

A list with the values of the tests statistics and the approximated p-values.

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.

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