tylermorganwall/skpr

DeclareDesign: Declare and Diagnose Research Designs

Design of Experiments for Python

estimatr: Fast Estimators for Design-Based Inference

🌌 The R easystats-project

Bayesian Optimization and Design of Experiments

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

Experimental design and (multi-objective) bayesian optimization.

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

Estimated marginal means