Overview of Vignettes

All package vignettes are available at https://easystats.github.io/modelbased/.

Function Overview

• Function Documentation

Introductions

Basics

• Data grids
• What are, why use and how to get marginal means
• Contrast analysis
• Marginal effects and derivatives
• Mixed effects models

Interpretation

• Use a model to make predictions
• Interpret simple and complex models using the power of Effect Derivatives
• How to use Mixed models to Estimate Individuals’ Scores

Visualization

• Plotting estimated marginal means
• Plotting estimated marginal means with tinyplot
• Visualize effects and interactions
• The Modelisation Approach to Statistics

Case Studies

Workflows

• Understanding your models
• Causal inference for observational data
• Intersectionality analysis using the MAIHDA framework
• Measuring and comparing absolute and relative inequalities
• Context Effects: How the Environment Shapes the Individual
• Interrupted Time Series Analysis with modelbased
• An Introduction to Growth Mixture Models

Contrasts

• Contrasts and pairwise comparisons
• User Defined Contrasts and Joint Tests
• Slopes, floodlight and spotlight analysis (Johnson-Neyman intervals)
• Contrasts and comparisons for generalized linear models
• Contrasts and comparisons for zero-inflation models