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|