Changes in version 1.2.9 (2025-11-14)                  

  - Fixed partial argument matches.
  - Fixed broken tests.

                 Changes in version 1.2.8 (2025-07-17)                  

  - fixed link for bug reports (reported by Kurt Hornik).
  - fixed rowSums bug in pruneCBA_M1.

                 Changes in version 1.2.7 (2024-05-15)                  

  - fixed some missing package anchors in the man pages.

                 Changes in version 1.2.6 (2024-04-16)                  

  - RCAR: Classifiers with a single rule now work
  - prepareTransactions gained parameter logical2factor.
  - Updated man pages.

                 Changes in version 1.2.5 (2022-08-19)                  

  - Improved formula interface code.
  - Changes for Matrix 1.4-2.

                 Changes in version 1.2.4 (2022-05-30)                  

  - LUCS_KDD algorithms work now in Java headless mode.
  - Function rules() is now defunct. rules are now extracted using
    $rules. Reason: arules has now a rules function.
  - Improved package tests.
  - NAMESPACE is now managed by roxygen.
  - Improved man pages.
  - new helper function classes.
  - CBA_ruleset now requires a default class.

                 Changes in version 1.2.3 (2022-05-27)                  

  - LUCS_KDD jars come now preinstalled which fixes compilation issues.
  - Fixed RCAR for 0 rule case.

                 Changes in version 1.2.1 (2021-11-20)                  

  - mineCARs now uses by default minimum LHS-support (via parameter
    originalSupport = FALSE).
  - the CBA_ruleset function is now used consistently as the constructor
    for CBA objects.
  - added transactionCoverage.
  - added uncoveredClassExamples.
  - added uncoveredMajorityClass.
  - added transactions2DF to convert transactions to a data.frame.
  - RCAR is now faster (does not run glmnet again for the chosen lambda)
    and returns the whole regularization path.
  - prepareTransactions now automatically add a negative class item if
    needed.
  - moved the experimental algorithms wCBA and bCBA to Work.
  - R/Weka-based classifiers have now a default class.

                 Changes in version 1.2.0 (2020-04-20)                  

  - Version 1.2.0 has a major interface cleanup. This might require some
    change in existing code.
  - The classifiers now use as the default a min. confidence of .5 and
    maxlen of 5 (max. rule length).
  - CBA now includes a default rule in the rule base.
  - added prepareTransactions to discretize and convert a data.frame
    into transactions.
  - added response to convert class items to class labels (factors).
  - added majorityClass.
  - added FOIL.
  - added RIPPER C4.5, and PART (via RWeka).
  - added PRM, CPAR and CMAR (via LUCS-KDD Software Library).
  - added datasets Mushroom and Lymphography.

                 Changes in version 1.1.6 (2020-01-08)                  

  - maintenance release.

                 Changes in version 1.1.5 (2019-11-12)                  

  - added RCAR (by Tyler Giallanza).
  - The interface for CBA() was updated.
  - CBA now complains if no rules are found.
  - CBA has now also M1 pruning.
  - mineCARs now uses ... to construct the parameters for apriori().

                 Changes in version 1.1.4 (2018-12-16)                  

  - discretizeDF.supervised method mdlp now produces a better error
    message if it fails.
  - cleaned up the predict code to improve speed.
  - mineCARs has now a balanced support option.
  - convenience function classFrequency added.

                Changes in version 1.1.3-1 (2018-04-23)                 

  - added new function discretizeDF.supervised for supervised
    discretization.
  - added new convenience function mineCARs to mine class association
    rules.
  - the formula interface now parsed the right hand side to restrict the
    used predictors.