Changelog

Source: NEWS.md

chaidr 0.1.0

• Initial CRAN release.
• chaid() fits CHAID and Exhaustive CHAID decision trees following the IBM SPSS Statistics Algorithms specification, with nominal, ordinal (floating missing category), and continuous predictors, and nominal, ordinal, and continuous responses.
• chaid_control() exposes all algorithm parameters with SPSS-compatible defaults, plus an adjust_across extension for multiplicity adjustment across predictors.
• predict() returns class labels, class probabilities, or terminal node ids.
• Inspection and reporting: chaid_table(), chaid_rules(), chaid_importance(), chaid_gains(), and chaid_validate().
• Visualization: base graphics plot(), ‘Graphviz’ DOT export via chaid_dot() / chaid_graphviz(), interactive trees via chaid_plotly(), and conversion to ‘partykit’ objects via chaid_as_party().