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20222025
most citedshapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python

2 citations · 2 across the 4 of their papers we have counts for

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stat.ME2025

FBMS: An R Package for Flexible Bayesian Model Selection and Model Averaging

Florian Frommlet, Jon Lachmann, Geir Storvik +1

The FBMS R package facilitates Bayesian model selection and model averaging in complex regression settings by employing a variety of Monte Carlo model exploration methods. At its c…

stat.ME2022

A subsampling approach for Bayesian model selection

Jon Lachmann, Geir Storvik, Florian Frommlet +1

It is common practice to use Laplace approximations to compute marginal likelihoods in Bayesian versions of generalised linear models (GLM). Marginal likelihoods combined with mode…