flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R

Fuente: arXiv

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Bibliographic Details
Main Authors:	Willer, Maximilian, Ruckdeschel, Peter
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computers and Society Methodology 62-04, 62-07 D.2.11; G.3; I.2.6
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2511.00079