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modelbased
0.11.0.3
Reference
Introductions
Overview of Vignettes
Basics
Data grids
Marginal means
Contrast analysis
Marginal effects and derivatives
Mixed effects models
Interpretation
Use a model to make predictions
Interpret models using Effect Derivatives
Estimate and re-use Random Effects
Visualization
Plotting estimated marginal means
Visualize effects and interactions
The modelisation approach
Case Studies
Workflows
Understanding your models
Causal inference for observational data
Intersectionality analysis using the MAIHDA framework
Contrasts
Contrasts and comparisons
Slopes, floodlight and spotlight analysis (Johnson-Neyman intervals)
Contrasts and comparisons for generalized linear models
Contrasts and comparisons for zero-inflation models
News
easystats
bayestestR
correlation
datawizard
easystats
effectsize
insight
modelbased
performance
parameters
report
see
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Sample dataset
Source:
R/data.R
contrast_example.Rd
Just for internal testing
