arulesCBA 1.2.5 (2022-08-19)

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

arulesCBA 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.

arulesCBA 1.2.3 (2022-05-27)

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

arulesCBA 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.

arulesCBA 1.2.0 (2020-04-19)

• 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.

arulesCBA 1.1.6 (2020-01-05)

• maintenance release.

arulesCBA 1.1.5 (2019-11-05)

• 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().

arulesCBA 1.1.4 (2018-12-04)

• 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.

arulesCBA 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.