ColmanHumphrey/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>.

install.packages("remotes")
remotes::install_github("ColmanHumphrey/glmmboot")