Implement method for upper bound

csgillespie / poweRlaw

This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.

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Implement method for upper bound #11

Closed haikolietz closed 5 years ago

haikolietz commented 11 years ago

The original method tests for power-law behaviour right of a lower bound. But sometimes one would like to test for power-law behavior left of an upper bound. The KS function should be applicable.

csgillespie commented 11 years ago

This is possible and is something I intend to implement in the future.

rodrigoqueiroz commented 10 years ago

It would be nice to have this feature to estimate an upper bound for cases where the power law behavior is on the left side of the distribution or in the middle with cut-off from both sides.

csgillespie commented 5 years ago

I've looked into this, and I'm not sure about the statistical reliability of this procedure. Happy to reconsider