Provides methods for extracting results from mixed-effect model
objects fit with the 'lme4' package. Allows construction of prediction intervals
efficiently from large scale linear and generalized linear mixed-effects models.
This method draws from the simulation framework used in the Gelman and Hill (2007) textbook:
Data Analysis Using Regression and Multilevel/Hierarchical Models.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.0.2), lme4 (≥ 1.1-11), methods |
| Imports: |
arm, dplyr, mvtnorm, reformulas, foreach, abind, ggplot2, blme, broom.mixed, Matrix |
| Suggests: |
testthat, knitr, rmarkdown, shiny, nlme, future.apply, rstanarm, Amelia, DT |
| Published: |
2026-05-31 |
| DOI: |
10.32614/CRAN.package.merTools |
| Author: |
Jared E. Knowles [aut, cre],
Carl Frederick [aut],
Alex Whitworth [ctb] |
| Maintainer: |
Jared E. Knowles <jared at civilytics.com> |
| BugReports: |
https://github.com/jknowles/merTools/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://jknowles.github.io/merTools/,
https://github.com/jknowles/merTools |
| NeedsCompilation: |
no |
| Citation: |
merTools citation info |
| Materials: |
README, NEWS |
| In views: |
MixedModels |
| CRAN checks: |
merTools results |