Closed mikebarkmin closed 6 years ago
New simulation studies have shown that AIC_3 is a good information criterion for the model. Therefore I would recommend to output this index.
AIC_3 = -2lnL + 3n_p
See: Bacher, J., Pöge, A., & Wenzig, K. (2010). Clusteranalyse. Anwendungsorientierte Einführung in Klassifikationsverfahren. München: Oldenbourg.
Also add p-values for likelihood-ratio-test and pearson-chi-square-test
New pull requests with separation of concerns will be made.
New simulation studies have shown that AIC_3 is a good information criterion for the model. Therefore I would recommend to output this index.
See: Bacher, J., Pöge, A., & Wenzig, K. (2010). Clusteranalyse. Anwendungsorientierte Einführung in Klassifikationsverfahren. München: Oldenbourg.
Also add p-values for likelihood-ratio-test and pearson-chi-square-test