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Background

  • Concepts: Linear mixed models
  • For Python / statsmodels users
  • For R / lme4 users
  • Feature comparison

Getting Started

  • Installation
  • Quickstart
  • GLMM quickstart
  • CLMM quickstart
  • Cox frailty quickstart
  • Examples
  • Interpreting model results
  • Diagnostics guide

Guides

  • Random Slopes Guide
  • Longitudinal Data Guide
  • Model Comparison
  • Cross-Validation Guide
  • Variance Inference Guide
  • Simulation and Bootstrap Guide

Case Studies

  • Case study: vocal pitch and register
  • Case study: workplace safety incidents
  • Case Study: Teacher Effectiveness Ratings (CLMM)
  • Case Study: Cox Frailty Model for Kidney Stone Recurrence

Reference

  • FAQ & Troubleshooting
  • Performance and scalability

Releases

  • Changelog

Development

  • Contributing

API Reference

  • API Reference
  • fit
  • glmer
  • clmm
  • coxme
  • ols
  • quantreg
  • Correlation structures
  • GLMM families
  • CrossedLMEResult
  • summary and VarCorr
  • Prediction
  • emmeans
  • contrast / pairs
  • anova
  • Anova
  • anova_type2 / anova_type3
  • Kenward-Roger degrees of freedom
  • profile_confint
  • isSingular
  • allFit
  • cross_val
  • Residuals
  • Augment
  • Leverage
  • Influence diagnostics
  • lmer_influence_measures
  • Analytical REML gradient
  • Plotting
  • simulate / bootMer
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