# DecisionTree split quality using chi-squared statistic

In most of the popular packages (rpart etc.), the decision tree split is based on information gain, entropy or Gini index.

Is there a popular decision tree package ( either 'R' or python) where the node split quality can be specified using chi-squared statistic?

install.packages("partykit")