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georgebv avatar georgebv commented on July 18, 2024

There are no confidence intervals available right away for the parameters, but you can calculate those yourself from the data.

For the Emcee model you can use the _trace attribute of shape number of free parameters x number of samples.

For the MLE model you can use the fit_parameter_cache attribute which is a list of samples of free parameters. Before it's available, however, you would need to call get_return_value with alpha argument and n_samples set to number you need (100 by default).

from pyextremes.

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