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 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_0.5.1.tar.gz |
| Windows binaries: | r-devel: glmmboot_0.5.1.zip, r-release: glmmboot_0.5.1.zip, r-oldrel: glmmboot_0.5.1.zip |
| macOS binaries: | r-release: glmmboot_0.5.1.tgz, r-oldrel: glmmboot_0.5.1.tgz |
| Old sources: | glmmboot archive |
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