plot.associations() and plot.itemMatrix().predict(): Fixed block-size handling and block boundaries. Blocked
prediction now processes each observation exactly once and correctly handles
a single-row newdata object.aggregate(): Fixed aggregation of itemsets, which previously discarded
the aggregated object.ruleInduction() now warns about unknown arguments.casualSupport and
casualConfidence are deprecated. Use causalSupport and
causalConfidence instead.aggregate(), predict(), PMML round trips, and
supportingTransactions().Constructors and conversion
Interest measures
Mining algorithms