DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-lin…

Create artistic visualisations with your exercise data

iml: interpretable machine learning R package

Galley of Tikz drawings.

R Package 📦 Containing the Datasaurus Dozen datasets 📊

A set of tools to understand what is happening inside a Random Forest

Policy learning via doubly robust empirical welfare maximization over trees

Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics

Shap values for model interpretation

Package for a nice and smoothe usage of the shapley value for mlr

Machine Learning Estimation of Heterogeneous Causal Effects