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.

Maintainer: Jared E. Knowles <jknowles at gmail.com>

Author(s): Jared E. Knowles*, Carl Frederick*

Install package and any missing dependencies by running this line in your R console:

install.packages("merTools")

Depends R (>= 3.0.2), arm, lme4(>=1.1-11), methods, dplyr
Imports mvtnorm, DT, shiny, abind, ggplot2, blme, broom
Suggests testthat, knitr, rmarkdown, foreach, parallel, rstanarm
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Package merTools
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Version 0.3.0
Published 2016-12-12
License GPL (>= 2)
BugReports https://www.github.com/jknowles/merTools
SystemRequirements
NeedsCompilation no
Citation
CRAN checks merTools check results
Package source merTools_0.3.0.tar.gz