lmerTest: Statistical Tests for Linear Mixed Effects Models in R

lmerTest provides p-values for ANOVA and summary tables for linear mixed effects models fitted with the lme4 package. The package implements Satterthwaite's degrees of freedom method and offers a Kenward-Roger method via the pbkrtest package. Authored by Alexandra Kuznetsova, it is an open-access R package for statistical analysis.

Use Cases

• Calculate p-values for fixed effects based on Satterthwaite's or Kenward-Roger methods.
• Perform model selection using stepwise elimination or drop1 procedures.
• Analyze random effects via ANOVA-like tables using the ranova method.
• Compute and test linear contrasts and Least-Square means for fixed effects.

Strengths

• Implements established statistical methods like Satterthwaite's and Kenward-Roger for p-value calculation.
• Provides multiple model selection tools including step, drop1, and ranova.
• Released under an Open Access (gold) license, facilitating academic and commercial use.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analysis scales.

Provenance

Source

Alexandra Kuznetsova

Collection Method

Likely developed as an R software package for statistical analysis.