mixedbiastest-package {mixedbiastest}R Documentation

mixedbiastest: Bias Diagnostics for Linear Mixed Models

Description

The 'mixedbiastest' package provides a function to perform bias diagnostics on linear mixed models fitted with 'lmer' from the 'lme4' package. It implements permutation tests for assessing the bias of fixed effects, as described in Karl and Zimmerman (2021).

Functions

mixedbiastest

Performs the bias diagnostic test.

print.mixedbiastest

Prints the results of the bias diagnostic.

plot.mixedbiastest

Plots the permutation distributions and observed test statistics for each fixed effect.

list_fixed_effects

List Fixed Effects from an lmerMod Object.

Acknowledgments

Development of this package was assisted by GPT o1-preview, which helped in constructing the structure of much of the code and the roxygen documentation. The code is based on the R code provided by Karl and Zimmerman (2020).

Author(s)

Maintainer: Andrew T. Karl akarl@asu.edu (ORCID)

References

Karl, A. T., & Zimmerman, D. L. (2021). A diagnostic for bias in linear mixed model estimators induced by dependence between the random effects and the corresponding model matrix. Journal of Statistical Planning and Inference, 212, 70–80. doi:10.1016/j.jspi.2020.06.004

Karl, A., & Zimmerman, D. (2020). Data and Code Supplement for 'A Diagnostic for Bias in Linear Mixed Model Estimators Induced by Dependence Between the Random Effects and the Corresponding Model Matrix'. Mendeley Data, V1. doi:10.17632/tmynggddfm.1


[Package mixedbiastest version 0.3.0 Index]