environmentaltools.temporal.fit

environmentaltools.temporal.fit(df_: DataFrame, param_: dict, par0: list, mode_: list, ref: int)

Fits the data to the given probability model

Parameters:

• df (*) – raw data

• param (*) – the parameters of the analysis

• par0 (*) – the guess parameters of the probability model

• mode (*) – components of the current mode

• ref (*) – log-likelihood value of the reference order

Returns:

the fit parameters * res[‘fun’] (float): the value of the log-likelihood function

Return type:

• res[‘x’] (list)