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: | 0.6.2 |
| 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: | 2024-02-08 |
| 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 |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | MixedModels |
| CRAN checks: | merTools results |
| Reference manual: | merTools.pdf |
| Vignettes: |
Prediction Intervals from merMod Objects Imputation Marginalizing Random Effect Levels An Introduction to merTools |
| Package source: | merTools_0.6.2.tar.gz |
| Windows binaries: | r-devel: merTools_0.6.2.zip, r-release: merTools_0.6.2.zip, r-oldrel: merTools_0.6.2.zip |
| macOS binaries: | r-release (arm64): merTools_0.6.2.tgz, r-oldrel (arm64): merTools_0.6.2.tgz, r-release (x86_64): merTools_0.6.2.tgz, r-oldrel (x86_64): merTools_0.6.2.tgz |
| Old sources: | merTools archive |
| Reverse suggests: | insight, rmcorr |
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