carloscinelli/sensemakr

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-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference

estimatr: Fast Estimators for Design-Based Inference

💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

DoubleML - Double Machine Learning in R

:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models

Robust Local Polynomial Methods for RD Designs

🌌 The R easystats-project

DoubleML - Double Machine Learning in Python

DeclareDesign: Declare and Diagnose Research Designs