Implements 'Multi-Calibration Boosting' (2018) <https://proceedings.mlr.press/v80/hebert-johnson18a.html> and 'Multi-Accuracy Boosting' (2019) <doi:10.48550/arXiv.1805.12317> for the multi-calibration of a machine learning model's prediction. 'MCBoost' updates predictions for sub-groups in an iterative fashion in order to mitigate biases like poor calibration or large accuracy differences across subgroups. Multi-Calibration works best in scenarios where the underlying data & labels are unbiased, but resulting models are. This is often the case, e.g. when an algorithm fits a majority population while ignoring or under-fitting minority populations.
| Version: | 0.4.4 | 
| Depends: | R (≥ 3.1.0) | 
| Imports: | backports, checkmate (≥ 2.0.0), data.table (≥ 1.13.6), mlr3 (≥ 0.10), mlr3misc (≥ 0.8.0), mlr3pipelines (≥ 0.3.0), R6 (≥ 2.4.1), rmarkdown, rpart, glmnet | 
| Suggests: | curl, lgr, formattable, tidyverse, PracTools, mlr3learners, mlr3oml, neuralnet, paradox, knitr, ranger, xgboost, covr, testthat (≥ 3.1.0) | 
| Published: | 2025-07-24 | 
| DOI: | 10.32614/CRAN.package.mcboost | 
| Author: | Florian Pfisterer | 
| Maintainer: | Sebastian Fischer <sebf.fischer at gmail.com> | 
| BugReports: | https://github.com/mlr-org/mcboost/issues | 
| License: | LGPL (≥ 3) | 
| URL: | https://github.com/mlr-org/mcboost | 
| NeedsCompilation: | no | 
| Citation: | mcboost citation info | 
| Materials: | README, NEWS | 
| CRAN checks: | mcboost results | 
| Reference manual: | mcboost.html , mcboost.pdf | 
| Vignettes: | MCBoost - Basics and Extensions (source, R code) MCBoost - Health Survey Example (source, R code) | 
| Package source: | mcboost_0.4.4.tar.gz | 
| Windows binaries: | r-devel: mcboost_0.4.4.zip, r-release: mcboost_0.4.4.zip, r-oldrel: mcboost_0.4.4.zip | 
| macOS binaries: | r-release (arm64): mcboost_0.4.4.tgz, r-oldrel (arm64): mcboost_0.4.4.tgz, r-release (x86_64): mcboost_0.4.4.tgz, r-oldrel (x86_64): mcboost_0.4.4.tgz | 
| Old sources: | mcboost archive | 
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