merTools: Provides methods for extracting and exploring results from merMod objects in the lme4 package.

The merTools package contains convenience tools for extracting useful information from and exploring the implications of merMod objects created by the lme4 package. These convenience functions are especially useful for merMod objects that take a long time to estimate due to their complexity or because they are estimated on very large samples.

Details

See the vignettes for usage examples

merMod extraction/utility functions

• fastdisp

• superFactor

• REextract

• REsim

• FEsim

• RMSE.merMod

• thetaExtract

• REquantile

merMod exploration functions

• plotREsim

• plotFEsim

• plotREimpact

• draw

• wiggle

• subBoot

• predictInterval

• expectedRank

• REimpact

• shinyMer

Influences and acknowledgements

The simulation approach used by predictInterval to propagate uncertainty from both the fixed and random effects draws on the framework described by Gelman and Hill (2007) and implemented in the arm package's sim() function. The package is built on top of the model objects fit by lme4 (Bates et al. 2015) and is intended to complement lme4::bootMer() by offering a faster, simulation-based alternative for large models. We are grateful to the authors and maintainers of those packages.

References

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. doi:10.18637/jss.v067.i01

See also

Useful links:

• https://jknowles.github.io/merTools/

• https://github.com/jknowles/merTools

• Report bugs at https://github.com/jknowles/merTools/issues

Author

Maintainer: Jared E. Knowles jared@civilytics.com

Authors:

• Jared E. Knowles jared@civilytics.com

• Carl Frederick carlbfrederick@gmail.com

Other contributors:

• Alex Whitworth whitworth.alex@gmail.com [contributor]