Is there really a difference in result if I use a GLMM with Gamma distribution vs. a model with a Gaussian distribution with log transformation? If so, how do I choose between the two methods?
See predict.merMod in R is acting strangely (poorly) when using new levels with glmer modelspredict.merMod in R is acting strangely (poorly) when using new levels with glmer models for an issue with predicting values from a Gamma model that seems to be fixed using a log-transformed model.
Any thoughts?