environmentaltools.temporal.nonst_fit

environmentaltools.temporal.nonst_fit(df: DataFrame, param: dict)

Fits a non-stationary probability model

Parameters:

• df (*) – raw time series

• param (*) – the guess parameters of the model

Returns:

the best parameters * bic (float): the Bayesian information criteria

Return type:

• par (list)