Package: mixedbiastest 0.3.0

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. Implements permutation tests for assessing the bias of fixed effects, as described in Karl and Zimmerman (2021) <doi:10.1016/j.jspi.2020.06.004>. Karl and Zimmerman (2020) <doi:10.17632/tmynggddfm.1> provide R code for implementing the test using 'mvglmmRank' output. Development of this package was assisted by 'GPT o1-preview' for code structure and documentation.

Authors:Andrew T. Karl [cre, aut]

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mixedbiastest.pdf |mixedbiastest.html✨
mixedbiastest/json (API)

# Install 'mixedbiastest' in R:
install.packages('mixedbiastest', repos = c('https://akarl46556.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • example_data - Example Dataset for the mixedbiastest Package

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 102 downloads 2 exports 34 dependencies

Last updated 13 days agofrom:d61abd65bb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 13 2024
R-4.5-winOKDec 13 2024
R-4.5-linuxOKDec 13 2024
R-4.4-winOKDec 13 2024
R-4.4-macOKDec 13 2024
R-4.3-winOKDec 13 2024
R-4.3-macOKDec 13 2024

Exports:list_fixed_effectsmixedbiastest

Dependencies:bootclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrpillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalestibbleutf8vctrsviridisLitewithr