Florian Pfisterer implemented and extended the main part of the package, heavily influcenced by
an unpublished python code-base written in large parts by Matthew. Florian furthermore worked on the interaction with
mlr3 by integrating mlr3 learners as Auditing Mechanism as well as exporting functionality to integrate
mcboost as a PipeOp into mlr3pipelines.
Christoph Kern prepared and contributed to the vignettes and co-authored the summary paper. Christoph contributed (very) moderately to the python code underlying this package and helped conceptionally in transitioning from the python code to the R implementation.
Susanne Dandl reviewed the R package, she provided advice on extensions, extended and improved vignettes and worked towards thorough unit testing of the different methods.
Matthew Sun wrote the initial Python implementation of MCBoost, with feedback and oversight provided by Michael. His version guided large parts of mcboost's current design and architecture.
Michael P. Kim is a coauthor of the research papers that introduced Multi-Calibration. Michael oversaw the development of the initial python implementation of MCBoost and provided additional advice and directions in the development of this R package.
Oversaw the package development and provided feedback with respect to API design, implementation details and methodology.