get_comp_AICc#
- mufasa.aic.get_comp_AICc(cube, model1, model2, p1, p2)[source]#
Calculate AICc values for two models over the same samples.
- Parameters:
cube (SpectralCube) – The data cube.
model1 (numpy.ndarray) – The first model cube.
model2 (numpy.ndarray) – The second model cube.
p1 (int) – Number of parameters associated with the first model.
p2 (int) – Number of parameters associated with the second model.
- Returns:
AICc values for the first and second models.
- Return type: