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: | 0.3.0 |
| 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 |
| Published: | 2016-12-12 |
| Author: | Jared E. Knowles [aut, cre], Carl Frederick [aut] |
| 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 An Introduction to merTools |
| Package source: | merTools_0.3.0.tar.gz |
| Windows binaries: | r-devel: merTools_0.3.0.zip, r-release: merTools_0.3.0.zip, r-oldrel: merTools_0.3.0.zip |
| OS X Mavericks binaries: | r-release: merTools_0.3.0.tgz, r-oldrel: merTools_0.3.0.tgz |
| Old sources: | merTools archive |
| Reverse imports: | sjPlot |
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