R: CHAID and Exhaustive CHAID Decision Trees

# CHAID and Exhaustive CHAID Decision Trees

## Documentation for package ‘chaidr’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

as.party.chaid | Convert a CHAID tree to a partykit constparty
chaid | Fit a CHAID or Exhaustive CHAID decision tree
chaid_as_party | Convert a CHAID tree to a partykit constparty
chaid_control | Control parameters for CHAID tree growing
chaid_dot | Render a CHAID tree as Graphviz DOT
chaid_gains | Gains and lift table for a CHAID tree
chaid_graphviz | Render a CHAID tree as Graphviz DOT
chaid_importance | Heuristic variable importance for a CHAID tree
chaid_plotly | Interactive CHAID tree plot with plotly
chaid_rules | Extract decision rules from a CHAID tree
chaid_table | Summary table of CHAID terminal nodes
chaid_validate | Evaluate a CHAID tree on holdout data
plot.chaid | Plot a CHAID tree with base graphics
plot.chaid_gains | Gains and lift table for a CHAID tree
predict.chaid | Predict from a fitted CHAID tree
print.chaid | Print and summarise a CHAID tree
print.chaid_dot | Render a CHAID tree as Graphviz DOT
print.chaid_gains | Gains and lift table for a CHAID tree
print.chaid_validation | Evaluate a CHAID tree on holdout data
summary.chaid | Print and summarise a CHAID tree