Corpus ID: 235421643

Bootstrapping Clustered Data in R using lmeresampler

@inproceedings{Loy2021BootstrappingCD,
  title={Bootstrapping Clustered Data in R using lmeresampler},
  author={A. Loy and J. Korobova},
  year={2021}
}
Linear mixed-effects models are commonly used to analyze clustered data structures. There are numerous packages to fit these models in R and conduct likelihood-based inference. The implementation of resampling-based procedures for inference are more limited. In this paper, we introduce the lmeresampler package for bootstrapping nested linear mixed-effects models fit via lme4 or nlme. Bootstrap estimation allows for bias correction, adjusted standard errors and confidence intervals for small… Expand

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