Please also provide the following information in addition to your question:

- Operating System: Win10
- brms Version: 2.9.0

When I ran the brm function I forgot to specify sample_prior=“yes” and it instead defaulted to sample_prior=“no”. It takes a week to run, so I’m not keen on doing it again if I can avoid it just to use the hypothesis function to compute Bayes Factors (and yes, all my priors are proper). I wondered if there was a way to run the model again with sample_prior=“only” (which I assume will run very fast in comparison) and then manually alter the original output object with sample_prior=“no” to include the information from the output object with sample_prior=“only” to trick the hypothesis function into thinking the original run was with sample_prior=“yes”. Any ideas?