glmmboot: Bootstrap Resampling for Mixed Effects and Plain Models

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

Version: 0.1.2
Depends: R (≥ 3.1)
Imports: methods, stats
Suggests: glmmTMB (≥ 0.2.1), testthat (≥ 0.11.0), pbapply (≥ 1.3.0), parallel (≥ 3.0.0), knitr, rmarkdown
Published: 2018-05-30
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

Downloads:

Reference manual: glmmboot.pdf
Vignettes: Quick Usage Guide
Package source: glmmboot_0.1.2.tar.gz
Windows binaries: r-devel: glmmboot_0.1.2.zip, r-release: glmmboot_0.1.2.zip, r-oldrel: glmmboot_0.1.2.zip
OS X binaries: r-release: glmmboot_0.1.2.tgz, r-oldrel: glmmboot_0.1.2.tgz

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