The value of generalized linear mixed models for data analysis in the plant sciences
Modern data analysis typically involves the fitting of a statistical model to data, which includes estimating the model parameters and their precision (standard errors) and testing hypotheses based on the parameter estimates.Linear mixed models (LMMs) fitted through likelihood methods have been the foundation for data analysis for well over a quart