glmmboot: Bootstrap Resampling for Mixed Effects and Plain Models

Performs bootstrap resampling for most models that update() works for. There are two primary functions: bootstrap_model() performs block resampling if random effects are present, and case resampling if not; bootstrap_ci() converts output from bootstrap model runs into confidence intervals and p-values. By default, bootstrap_model() calls bootstrap_ci(). Package motivated by Humphrey and Swingley (2018) <arXiv:1805.08670>.

Version: 0.5.1
Depends: R (≥ 3.1)
Imports: methods, stats
Suggests: glmmTMB (≥ 0.2.1), testthat (≥ 0.11.0), parallel (≥ 3.0.0), future.apply (≥ 1.1.0), knitr, rmarkdown, covr
Published: 2020-03-30
Author: Colman Humphrey [aut, cre]
Maintainer: Colman Humphrey <humphrc at>
License: AGPL-3 | file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: glmmboot results


Reference manual: glmmboot.pdf
Vignettes: Quick Usage Guide
Package source: glmmboot_0.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: glmmboot_0.5.1.tgz, r-oldrel: glmmboot_0.5.1.tgz
Old sources: glmmboot archive


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