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Mixed-effects models in R using S4 classes and methods with RcppEigen
Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
Explaining the output of machine learning models with more accurately estimated Shapley values
R Contribution Working Group: fostering a larger, more diverse community of contributors to R core development
Material for the 2-day block course "Deep Learning with Actuarial Applications in R"
Half day workshop covering insurance pricing with GAMs, GLMs, trees and clustering.
Notebooks of the eXplainableAI working group of the German actuarial association