If I use the "get_best" sub-module as follows:

f.get_best(method='sumsquare_error')

It returns the best fitted distribution and its parameters; i.e., a dictionary with one key (the distribution name) and its parameters.

For instance:

{'beta': (1.0900359801761663, 0.8058383063379988, -9.543996466545888, 107.5439964665459)}

Could you please provide clarity on which is the mean, standard deviation, etc? The package documentation does not provide clarity.