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.
Version: | 0.4.1 |
Depends: | R (≥ 3.0.2), arm, lme4 (≥ 1.1-11), methods, dplyr |
Imports: | mvtnorm, DT, shiny, abind, ggplot2, blme, broom, foreach |
Suggests: | testthat, knitr, rmarkdown, parallel, rstanarm, Amelia, nlme |
Published: | 2018-06-05 |
Author: | Jared E. Knowles [aut, cre], Carl Frederick [aut], Alex Whitworth [ctb] |
Maintainer: | Jared E. Knowles <jknowles at gmail.com> |
BugReports: | https://www.github.com/jknowles/merTools |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | merTools results |
Reference manual: | merTools.pdf |
Vignettes: |
Prediction Intervals from merMod Objects Imputation An Introduction to merTools |
Package source: | merTools_0.4.1.tar.gz |
Windows binaries: | r-devel: merTools_0.4.1.zip, r-release: merTools_0.4.1.zip, r-oldrel: merTools_0.4.1.zip |
OS X binaries: | r-release: merTools_0.4.1.tgz, r-oldrel: merTools_0.4.1.tgz |
Old sources: | merTools archive |
Reverse suggests: | rmcorr |
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