WebApr 10, 2024 · 1) The GLMM is the right approach because it controls for subject, enclosure and sex effects (and other sources of non-independence): this therefore recognises that datapoints must be statistically independent for the valid use of stats/the value calculations of P values (see any stats textbook for details). The reason the linear regression ... WebApr 14, 2024 · successes and a vector of failures. (For this version of glmm, these are the only response types possible. If you need to t a model with a di erent response, contact me.) 2.At least one vector that will be used for de ning the random e ects’ design matrix. For this version of glmm, the vector(s) should be class factor.
An Introduction to Model-Fitting with the R package glmm
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