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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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