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To cite merTools in publications, please cite the package itself.

Knowles J, Frederick C (2026). merTools: Tools for Analyzing Mixed Effect Regression Models. R package version 1.0.0, https://CRAN.R-project.org/package=merTools.

merTools implements the simulation-based prediction-interval framework of Gelman and Hill (2007), popularized by the 'arm' package, and is designed to complement lme4::bootMer(). If you use predictInterval(), please also consider citing: Gelman, A. and Hill, J. (2007). Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press. Bates, D., Maechler, M., Bolker, B., and Walker, S. (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1), 1-48.

Corresponding BibTeX entry:

  @Manual{,
    title = {merTools: Tools for Analyzing Mixed Effect Regression
      Models},
    author = {Jared E. Knowles and Carl Frederick},
    year = {2026},
    note = {R package version 1.0.0},
    url = {https://CRAN.R-project.org/package=merTools},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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