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Overview of Vignettes

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

Function Overview

Function Documentation

The analytical workflow with `{modelbased}`

The Modelisation Approach to Statistics

Introductions

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

Hypothesis Testing

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

Case Studies and 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

Technical Details

Understanding marginalization methods

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.