merTools: Tools for Analyzing Mixed Effect Regression Models (original) (raw)
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:
0.6.3
Depends:
R (≥ 3.0.2), arm, lme4 (≥ 1.1-11), methods
Imports:
dplyr, mvtnorm, foreach, shiny, abind, ggplot2, blme, broom.mixed, Matrix
Suggests:
testthat, knitr, rmarkdown, parallel, nlme, future.apply, rstanarm, Amelia, DT
Published:
2025-09-05
DOI:
10.32614/CRAN.package.merTools
Author:
Jared E. Knowles [aut, cre], Carl Frederick [aut], Alex Whitworth [ctb]
Maintainer:
Jared E. Knowles
BugReports:
https://github.com/jknowles/merTools/issues
License:
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:
no
Materials:
In views:
CRAN checks: