Currently working with biomass decomposition rate estimates, that are highly kurtois (but not skewed). The endpoint is to try to explain rates as a function of type of biomass and environmental data.
I have no experience with data of this type, but if "feels like all the outliers" might have an undesirably large effect on model outcomes. How to transform such data? And will the estimates be at all intelligible?