Have you used Bayes factor to test point-null hypotheses in Hierarchical models and wondered: 1. Bridge sampling (BS) or Savage-Dickey density ratio (SDDR)? 2. If SDDR, which density estimation method? 3. How many MCMC samples? 4. What's the cost-benefit trade-off? This may be of interest to you.
How to best estimate Bayes factors for standard hypothesis tests? We compared bridge sampling and the Savage-Dickey density ratio. The latter does a good job in most constellations typical for experiments in cognitive psychology.