chaidr - CHAID and Exhaustive CHAID Decision Trees
An implementation of the CHAID (Chi-squared Automatic
Interaction Detection) decision tree algorithm of Kass (1980)
<doi:10.2307/2986296> and the Exhaustive CHAID variant of
Biggs, de Ville, and Suen (1991)
<doi:10.1080/02664769100000005>, as specified in the 'IBM SPSS'
Statistics Algorithms documentation. Supports nominal, ordinal
(with floating missing category), and continuous predictors,
and nominal, ordinal, and continuous response variables using
Pearson chi-squared, Goodman row-effects, and one-way ANOVA F
tests respectively. Includes prediction, rule extraction, gains
and lift analysis, validation on holdout data, and
visualization via base graphics, 'Graphviz' DOT, 'plotly', and
conversion to 'partykit' objects.
