mixedbiastest: Bias Diagnostic for Linear Mixed Models

Provides a function to perform bias diagnostics on linear mixed models fitted with lmer() from the 'lme4' package. Compares an internal random-effects alignment diagnostic with a fitted permutation reference distribution, following Karl and Zimmerman (2021) <doi:10.1016/j.jspi.2020.06.004>. Conditional response-refit simulations separately record random-effects alignment and residual-weight contributions to estimation error. Karl and Zimmerman (2020) <doi:10.17632/tmynggddfm.1> provide R code for implementing the test using 'mvglmmRank' output. Development and review were assisted by 'GPT o1-preview', 'GPT 5 Pro', and 'GPT6 Astra'; the author is responsible for the code and its interpretation.

Version:	1.1.0
Depends:	R (≥ 3.5.0)
Imports:	lme4, Matrix, ggplot2, rlang
Suggests:	plm, lmerTest, testthat (≥ 3.1.7)
Published:	2026-10-22
DOI:	10.32614/CRAN.package.mixedbiastest
Author:	Andrew T. Karl [cre, aut]
Maintainer:	Andrew T. Karl <akarl at asu.edu>
License:	GPL-3
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	mixedbiastest results

Documentation:

Reference manual:

mixedbiastest.html , mixedbiastest.pdf

Downloads:

Package source:	mixedbiastest_1.1.0.tar.gz
Windows binaries:	r-devel: mixedbiastest_1.0.3.zip, r-release: mixedbiastest_1.0.3.zip, r-oldrel: mixedbiastest_1.0.3.zip
macOS binaries:	r-release (arm64): mixedbiastest_1.1.0.tgz, r-oldrel (arm64): mixedbiastest_1.1.0.tgz, r-release (x86_64): mixedbiastest_1.1.0.tgz, r-oldrel (x86_64): mixedbiastest_1.1.0.tgz
Old sources:	mixedbiastest archive

Linking:

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