> # Print results > print(lrtest) Likelihood ratio tests of cumulative link models: formula: link: threshold: m2 categorical_FOD_FODs ~ 0 + Condition_FODs:Gender_quantised_FODs - 1 logit flexible m1 categorical_FOD_FODs ~ 0 + Condition_FODs:Gender_FODs - 1 logit flexible no.par AIC logLik LR.stat df Pr(>Chisq) m2 6 5839.2 -2913.6 m1 13 5847.8 -2910.9 5.4581 7 0.6042 > print(AICs) df AIC m1 13 5847.790 m2 6 5839.248 > print(BICs) df BIC m1 13 5927.194 m2 6 5875.896 which test is ideal to conduct?

The last example is a good one. The formula is categorical_FOD_FODs ~ 0 + Condition_FODs:Gender_quantised_FODs - 1 
and this is the formula for the model. The m2 is the model with the formula. However, What does m1 stand for? What does 0 stand for? what does the : stand for? What does the - 1 stand for?