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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.
Health stats visible at Monitor.