> # 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?

### Code analysis: 

#### Code: 

    def add(a, b):
      return a + b

#### Explanation: 

    The function add takes two arguments a and b and returns the sum of a and b.
    
    
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## Data Archiving statement: 

The data that support the findings of this study are available from the corresponding author upon reasonable request. 

## Authors contributions: 

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## Acknowledgements: 

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