Description
Fit power-law distributions to empirical data for statistical analysis, research, and model checking. It helps researchers test whether measured data follows a heavy-tailed pattern instead of relying on visual guesses.
This is a scientific computing tool for users who understand the data and assumptions being tested. Interpret results carefully, because a fitted distribution is evidence for a model, not proof that the model explains the phenomenon.