lme4 is an R package for fitting and analyzing linear, nonlinear and generalized linear mixed models.
Overview
lme4 is an r package for fitting and analyzing linear, nonlinear and generalized linear mixed-models.
Repositories
Vignettes
Books
- lme4: Mixed-effects modeling with R by Doug Bates
Other resources
- The r-sig-mixed-models mailing list
- Fitting Linear Mixed-Effects Models using lme4 by Bates et al.; arXiv preprint of article submitted to Journal of Statistical Software
- Estimating the Multilevel Rasch Model: With the lme4 Package by Doran et al. in Journal of Statistical Software
- The Estimation of Item Response Models with the lmer Function from the lme4 Package in R by De Boeck et al. in Journal of Statistical Software
- Douglas Bates's presentation: Using lme4: Mixed-Effects Modeling in R
- A semi-official FAQ on LMMs and GLMMs, written primarily by Ben Bolker (one of the authors of
lme4) - Inside-R reference page
- Crantastic page
- Posts on R-bloggers
Related tags
- mixed-models, regression and non-linear-regression
- r's nlme package, an older iteration of this package.
Tag usage
Questions on tag lme4 should be about implementation and programming problems, not about the statistical or theoretical properties of the technique. Consider whether your question might be better suited to Cross Validated, the StackExchange site for statistics, machine learning and data analysis.
