In easystats/estimate: Estimation of Model-Based Predictions, Contrasts and Means

library(knitr)
knitr::opts_chunk$set(
  echo = TRUE,
  collapse = TRUE,
  warning = FALSE,
  message = FALSE,
  comment = "#>",
  eval = TRUE
)

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

Function Overview

• Function Reference

Articles

• Interpret simple and complex models using the power of Effect Derivatives
• Model and describe non-linear relationships
• Contrast analysis
• How to use Mixed models to Estimate Individuals' Scores
• What are, why use and how to get marginal means
• Visualize effects and interactions
• Use a model to make predictions
• Marginal effects and derivatives
• The Modelisation Approach to Statistics
• Transformations
• Data grids

easystats/estimate documentation built on April 30, 2024, 5:12 p.m.