mlr-org · be-marc · Apr 22, 2026
diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,7 +1,7 @@
 Type: Package
 Package: mlr3fairness
 Title: Fairness Auditing and Debiasing for 'mlr3'
-Version: 0.4.0
+Version: 0.4.1
 Authors@R: c(
     person("Florian", "Pfisterer", , "pfistererf@googlemail.com", role = c("cre", "aut"),
            comment = c(ORCID = "0000-0001-8867-762X")),
@@ -15,7 +15,7 @@ Description: Integrates fairness auditing and bias mitigation methods for
     "Reweighing" described in 'Kamiran, Calders' (2012)
     <doi:10.1007/s10115-011-0463-8> and "Equalized Odds" described in
     'Hardt et al.' (2016)
-    <https://papers.nips.cc/paper/2016/file/9d2682367c3935defcb1f9e247a97c0d-Paper.pdf>.
+    <https://doi.org/10.48550/arXiv.1610.02413>.
     Integration with 'mlr3' allows for auditing of ML models as well as
     convenient joint tuning of machine learning algorithms and debiasing
     methods.
@@ -61,4 +61,4 @@ Config/testthat/parallel: false
 Encoding: UTF-8
 LazyData: true
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.3.2
+RoxygenNote: 7.3.3
diff --git a/NEWS.md b/NEWS.md
@@ -1,4 +1,4 @@
-# mlr3fairness (development version)
+# mlr3fairness 0.4.1
 
 * Register `MeasureFairness`, `MeasureFairnessComposite`, `MeasureFairnessConstraint` and `MeasureSubgroup`
   with prototype arguments so `as.data.table(mlr_measures)` no longer errors.

diff --git a/R/bibentries.R b/R/bibentries.R
@@ -11,7 +11,7 @@ bibentries = c(
   hardt_2016 = bibentry("inproceedings",
     author = "Moritz Hardt and Eric Price and Nathan Srebro",
     title = "Equality of Opportunity in Supervised Learning",
-    url = "https://papers.nips.cc/paper/2016/file/9d2682367c3935defcb1f9e247a97c0d-Paper.pdf",
+    url = "https://doi.org/10.48550/arXiv.1610.02413",
     booktitle = "Advances in Neural Information Processing Systems",
     volume = "29",
     year = "2016",

diff --git a/README.md b/README.md
@@ -280,5 +280,4 @@ questions, suggestions or feedback, please do not hesitate to open an
 often helpful if you provide a “minimum working example” that showcases
 the behaviour.
 
-[^1]: The fairness report is inspired by the [Aequitas Bias
-    report](http://aequitas.dssg.io/example.html).
+[^1]: The fairness report is inspired by the Aequitas Bias report.
diff --git a/man/MeasureFairness.Rd b/man/MeasureFairness.Rd
diff --git a/man/MeasureFairnessComposite.Rd b/man/MeasureFairnessComposite.Rd
diff --git a/man/MeasureFairnessConstraint.Rd b/man/MeasureFairnessConstraint.Rd
diff --git a/man/MeasureSubgroup.Rd b/man/MeasureSubgroup.Rd
diff --git a/man/compute_metrics.Rd b/man/compute_metrics.Rd
diff --git a/man/fairness_accuracy_tradeoff.Rd b/man/fairness_accuracy_tradeoff.Rd
diff --git a/man/fairness_compare_metrics.Rd b/man/fairness_compare_metrics.Rd
diff --git a/man/fairness_prediction_density.Rd b/man/fairness_prediction_density.Rd
diff --git a/man/fairness_tensor.Rd b/man/fairness_tensor.Rd
diff --git a/man/groupwise_metrics.Rd b/man/groupwise_metrics.Rd
diff --git a/man/mlr3fairness-package.Rd b/man/mlr3fairness-package.Rd
diff --git a/man/mlr_learners_classif.fairfgrrm.Rd b/man/mlr_learners_classif.fairfgrrm.Rd
diff --git a/man/mlr_learners_classif.fairzlrm.Rd b/man/mlr_learners_classif.fairzlrm.Rd
diff --git a/man/mlr_learners_fairness.Rd b/man/mlr_learners_fairness.Rd
diff --git a/man/mlr_learners_regr.fairfrrm.Rd b/man/mlr_learners_regr.fairfrrm.Rd
diff --git a/man/mlr_learners_regr.fairnclm.Rd b/man/mlr_learners_regr.fairnclm.Rd
diff --git a/man/mlr_learners_regr.fairzlm.Rd b/man/mlr_learners_regr.fairzlm.Rd