LMERConvenienceFunctions: Example Data for (G)LMER Model Selection and Analysis

LMERConvenienceFunctions is an R package providing functions and example data for statistical modeling. The package's main functions perform backward selection of fixed effects, forward fitting of random effects, and post-hoc analysis using parallel capabilities. It was authored by Antoine Tremblay of Statistics Canada and Johannes Ransijn of the University of Copenhagen.

Use Cases

• Automating model selection for (G)LMERs based on backward elimination of fixed effects and forward fitting of random effects.
• Conducting post-hoc analysis for fitted mixed-effects models using parallel computation capabilities.
• Computing ANOVAs with upper- or lower-bound p-values and R-squared values for each model term.
• Performing model criticism and generating diagnostic plots for fitted models.
• Trimming data based on model residuals and visualizing datasets.

Strengths

• Includes specialized functions for automated model selection and post-hoc analysis for (G)LMERs.
• Provides additional utilities for ANOVA computation, model criticism, and data visualization.
• Authored by researchers from Statistics Canada and the University of Copenhagen.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count, column definitions, and file formats are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

R package 'LCF_data' associated with the LMERConvenienceFunctions package.

Collection Method

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Time Range

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Freshness

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