Changes in version 1.2.2 (2025-11-30)                  

  - changed ifelse to if else statement in fairness_heatmap as per
    https://github.com/ModelOriented/fairmodels/issues/57

                 Changes in version 1.2.1 (2022-08-23)                  

  - changed link to codecov in README.md
  - changed class(x) == 'fairness_regression_object to inherits(x,
    "fairness_regression_object") in plot_density.R according to CRAN
    comments
  - changed CITATION file (added reference to the RJournal)
  - fix for https://github.com/ModelOriented/fairmodels/issues/49
  - fix for https://github.com/ModelOriented/fairmodels/issues/48

                 Changes in version 1.2.0 (2021-10-08)                  

  - Added filtering metrics when plotting and printing of
    fairness_object.
  - Added ability to add custom measure function to print method of
    fairness_object
  - Refactored code with tidyverse style
  - Changed the order of metrics in metric_scores plot to match the ones
    in fairness_check
  - Added instruction for creating custom metric in README
  - Added references to vignettes
  - Enhanced the advanced vignette

                        Changes in version 1.1.1                        

  - Fixed error which appeared when 2 fairness objects had the same
    labels in them. Now if this appears it throws an error. (#41)
  - privileged parameter is now converted to character. (#41)
  - reweight() function now accepts factors (#41)

                 Changes in version 1.1.0 (2021-05-31)                  

  - Added function fairness_check_regression() that supports regression
    models along with 2 plot types (#38).
  - Added additional tests.
  - Modularized fairness_check() code.
  - Changed x-axis ticks generation in fairness_check().
  - Fixed issues with `plot_density
  - Updated links in README and DESCRIPTION.

                 Changes in version 1.0.1 (2021-04-14)                  

  - Changed examples - added parameter num.threads = 1 to ranger and
    added donttest{} to examples with long computation time.

                        Changes in version 1.0.0                        

  - Added citation information
  - Added additional reference in fairness_check() documentation.
  - Fixed links in DESCRIPTION and README.

                        Changes in version 0.2.6                        

  - Fixed bug which appeared when two fairness objects were passed to
    fairness_check without an explainer. (#36)

                        Changes in version 0.2.5                        

  - Extended documentation for epsilon parameter in fairness_check()
    function.

                 Changes in version 0.2.4 (2020-12-12)                  

  - Deleted on-load information message about four-fifths rule.
  - Fixed bug with NA warning in metrics that are not chosen. (#32)

                        Changes in version 0.2.3                        

  - Fixed the way the parity_loss is calculated in all_cutoffs and
    ceteris_paribus_cutoff. (#24)
  - Updated vignettes
  - changed documentation of functions to explicitly state metrics
    instead of fairness_check_metrics(). (#29)
  - Fixed typos (#27 and #28)
  - Changed conclusion drawn from density plot in Basic Tutorial (#26)

                 Changes in version 0.2.2 (2020-09-21)                  

  - fairness_check_data now instead of 0 has NA due to concerns of
    interpretability - insignificant difference could lead up to maximal
    value of loss. With that change when NA is created user will see
    warning when plotting or printing. This doesn't affect other objects
    and plots.
  - Description fixes
  - Added metric_scores plot to basic tutorial
  - Updated new documentation in roc_pivot

                        Changes in version 0.2.1                        

  - bug related to fairness check plot fixed - rectangles did not appear
    for low epsilon values

                        Changes in version 0.2.0                        

  - adhering to four-fifths (80%) rule - changed fairness check and
    parity loss calculation. Now ratio is being calculated instead of
    differences.(#17)
  - Some plots now have default fairness metrics - same as in
    fairness_check
  - stack_metrics now has parameter fairness_metrics
  - corrected vignettes
  - enhanced tests

                 Changes in version 0.1.1 (2020-08-20)                  

  - changed examples in metric_scores function
  - changed DALEX URL in README
  - changed pre-processing to preprocessing in DESCRIPTION

                        Changes in version 0.1.0                        

  - main function fairness_check() implemented
  - various bias visualization functions implemented
  - pre-processing and post-processing bias mitigation techniques
    implemented
  - 2 vignettes present