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: | 0.5.0 |
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: | 2019-12-16 |
Author: | Colman Humphrey [aut, cre] |
Maintainer: | Colman Humphrey <humphrc at tcd.ie> |
License: | AGPL-3 | file LICENSE |
URL: | https://github.com/ColmanHumphrey/glmmboot |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | glmmboot results |
Reference manual: | glmmboot.pdf |
Vignettes: |
Quick Usage Guide |
Package source: | glmmboot_0.5.0.tar.gz |
Windows binaries: | r-devel: glmmboot_0.5.0.zip, r-devel-gcc8: glmmboot_0.5.0.zip, r-release: glmmboot_0.5.0.zip, r-oldrel: glmmboot_0.5.0.zip |
OS X binaries: | r-release: glmmboot_0.5.0.tgz, r-oldrel: glmmboot_0.5.0.tgz |
Old sources: | glmmboot archive |
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