ColmanHumphrey/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>.

Getting started

Package details

Maintainer
LicenseAGPL-3 | file LICENSE
Version0.3.0
URL https://github.com/ColmanHumphrey/glmmboot
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("ColmanHumphrey/glmmboot")
ColmanHumphrey/glmmboot documentation built on Jan. 14, 2019, 9:54 p.m.