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first of all: thank you very much for this great package!
Right now I'm trying to get my head around the output of the anova()-function when applied to two models with prior specification of the intercept. I'm confused about your statement above:
"The anova organizes the input objects such that the comparison is always nested based on the degrees of freedom. So it will always test whether the model with more df fits worse than the one with more. Hence, the bayes factor is always organized to test whether the less restrictive model is more likely than the less restrictive."
Does anova() test whether the model with fewer or with more df fits worse? And does the BF organized to test whether the less restrictive model is more likely or the more restrictive model?
Best
Marvin
Dear Phil,
first of all: thank you very much for this great package!
Right now I'm trying to get my head around the output of the anova()-function when applied to two models with prior specification of the intercept. I'm confused about your statement above:
"The anova organizes the input objects such that the comparison is always nested based on the degrees of freedom. So it will always test whether the model with more df fits worse than the one with more. Hence, the bayes factor is always organized to test whether the less restrictive model is more likely than the less restrictive."
Does anova() test whether the model with fewer or with more df fits worse?
And does the BF organized to test whether the less restrictive model is more likely or the more restrictive model?
Best
Marvin
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