📈🌱 MMFAIR - Mixed Models for Agriculture in R can on one hand be seen as the bigger brother 📊🌱 DSFAIR - Data Science for Agriculture in R, because it deals with more sophisticated analyses. On the other hand, however, it also deals with the limitations of (generalized) linear mixed model analyses in R:
To this day, R has no single go-to package for such analyses. Instead, packages like nlme, lme4, glmmTMB or sommer provide the tools to fit some but not all such models. Therefore, our aim is to
- provide a cookbook with (generalized) linear mixed model analyses of typical examples in life sciences (focus on agriculture/biology) and
- compare the possibilities or rather limitations of the R-packages to each other, but also to SAS’
PROC MIXED.
Where possible, we try to use example data/analyses that have been published in peer-reviewed journals.
