Subsections


statistics.aic

Image office-chart-pie Image discrepancy_curve

Synopsis

Calculate and store Akaike's Information Criterion (AIC) for each model.

Defaults

statistics.aic()

Description

This will perform a calculation to obtain the chi-squared statistic for the current parameter values for each model, count the number of parameters per model and calculate Akaike's Information Criterion (AIC) using the formula AIC = chi2 + 2k. The AIC values, chi-squared values, and number of parameters will be stored in the appropriate location for the model in the relax data store.




The relax user manual (PDF), created 2016-10-28.