For the purpose of model selection, I am using the Bayes' factor to compare different combinations of predictors in a linear regression model.
I have used the function
regressionBF() from the
library(BayesFactor), and I got the following results:
# > regressionBF(return ~ FSCR + VAL, data = dataf) # Bayes factor analysis # -------------- # FSCR : 65.17482 ±0% # VAL : 0.1979875 ±0.02% # FSCR + VAL : 23.58704 ±0% #Against denominator: # Intercept only
I am not sure how to interpret these results. What do the percentage numbers next to the Bayes' factors mean? Also, 65 and 23 seem pretty high for a Bayes' factor. How can I interpret that?
Any help would be appreciated. Thanks!