partial-dependence

Bayesian additive regression trees (BART) for regression, classification, uncertainty quantification, and variable selection in R, with optional GPU acceleration.

R tools for Individual Conditional Expectation plots, derivative ICE, partial dependence, and model-interpretability diagnostics.

Nonlinear U.S. airline output modelling with ridge regression, RBF and polynomial kernel ridge, I-splines, cross-validation, and partial dependence.

ML Model Explainability & Monitoring Platform | SHAP explanations, data drift detection (PSI), fairness analysis & what-if simulator | Plotly.js

Two Random Forest case studies connecting validation performance, global feature reliance, local SHAP attribution and input representation.

Explainable AI assignment comparing TabNet interpretability with permutation importance, partial dependence plots, and LIME on tabular weather data.