Bootstrap Resampling for Mixed Effects and Plain Models


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Documentation for package ‘glmmboot’ version 0.3.0

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BootCI Enter first level estimates and second level estimates, get bootstrap interval, from the pivotal bootstrap t (Efron and Tibshirani 1994, also endorsed by Hesterberg 2015).
BootGlmm computes bootstrap resamples of your data, stores estimates + SEs.
CombineResampledLists When running BootGlmm in distributed fashion, combines output
GetRand this takes in a formula with bars and gives back the plain names of the columns
test_data Simulated data containing three fixed effects and one random effect