mean_saving#
- mean_saving(precomputed_params: tuple[ndarray, ndarray], starts: ndarray, ends: ndarray) ndarray [source]#
Calculate the Gaussian mean likelihood saving for each segment.
The mean_saving calculates the Gaussian likelihood ratio test statistic of the segment starting at start and ending at end having the maximum likelihod estimate of the mean versus zero mean.
- Parameters:
- precomputed_paramstuple[np.ndarray, np.ndarray]
Precomputed parameters from init_mean_saving.
- startsnp.ndarray
Start indices of the segments.
- endsnp.ndarray
End indices of the segments.
- Returns:
- savingsnp.ndarray
2D array of savings for each segment (rows) and component (columns).