mufasa.aic

The mufasa.aic module provides tools for statistical evaluation of spectral cube models, including Akaike Information Criterion (AIC) calculations, corrected AIC (AICc), and chi-squared metrics.

Functions

AIC	Calculate the Akaike Information Criterion (AIC).
AICc	Calculate the corrected Akaike Information Criterion (AICc).
fits_comp_AICc	A wrapper function to calculate corrected Akaike Information Criterion (AICc) values and save them to a FITS file.
fits_comp_chisq	Calculate and save chi-squared values for the given cube and model fits.
get_comp_AICc	Calculate AICc values for two models over the same samples.
likelihood	Calculate the log-likelihood of model A relative to model B.