As stated before, we usually don’t recommend one model or normalization over the others and leave it to the user’s best judgment. All the included options in MaAsLin 2 have been carefully validated (as described in our paper) so that they together represent a multi-model system appropriate for many different microbial community data types (taxonomy or functional profiles), environments (human or otherwise), and measurements (counts or relative counts) along with the implementation of alternative normalization/transformation schemes and statistical models as we strongly believe that the best model for a given dataset is highly context-dependent.
Thanks a bunch,
Himel