Compare (macroeco.compare)

This module contains functions that compare the goodness of fit of a distribution/curve to data or the fit of two distributions/curves to each other.

nll(data, model)	Negative log likelihood given data and a model
lrt(data, model_full, model_reduced[, df])	Compare two nested models using a likelihood ratio test
AIC(data, model[, params, corrected])	Akaike Information Criteria given data and a model
AIC_compare(aic_list)	Calculates delta AIC and AIC weights from a list of AIC values
sum_of_squares(obs, pred)	Sum of squares between observed and predicted data
r_squared(obs, pred[, one_to_one, log_trans])	R^2 value for a regression of observed and predicted data
preston_bin(data, max_num)	Bins data on base 2 using Preston’s method