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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.chaid_table(),
chaid_rules(), chaid_importance(),
chaid_gains(), and chaid_validate().plot(), ‘Graphviz’ DOT
export via chaid_dot() / chaid_graphviz(),
interactive trees via chaid_plotly(), and conversion to
‘partykit’ objects via chaid_as_party().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.