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arulesCBA 1.2.10 (2026-10-01)

• Modernized and added tests.
• Corrected spelling and grammar.

arulesCBA 1.2.9 (2025-11-04)

• Fixed partial argument matches.
• Fixed broken tests.

arulesCBA 1.2.8 (2025-07-16)

• Fixed the bug report link (reported by Kurt Hornik).
• Fixed a rowSums bug in pruneCBA_M1.

arulesCBA 1.2.7 (2024-05-15)

• Fixed missing package anchors in the help pages.

arulesCBA 1.2.6 (2024-04-15)

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

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 now work in Java headless mode.
• The rules() function is now defunct. Rules are extracted using $rules because arules has a rules() function.
• Improved package tests.
• NAMESPACE is now managed by roxygen.
• Improved man pages.
• Added the classes() helper function.
• CBA_ruleset now requires a default class.

arulesCBA 1.2.3 (2022-05-27)

• LUCS_KDD JARs are now bundled, fixing compilation issues.
• Fixed RCAR for the zero-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 adds 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 parses the right-hand side to restrict the predictors used.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.