Hypothesis Testing Tree  R Documentation 
Fit a hypothesis testing tree.
HTT(formula, data, method, distance, controls = htt_control(...), ...)
formula 
a symbolic description of the model to be fit. 
data 
a data frame containing the variables in the model. 
method 

distance 
If 
controls 
a list of options that control details of the 
... 
arguments passed to 
Hypothesis testing trees examines the distribution difference over two child nodes by the binary partitioning in a hypothesis testing framework. At each split, it finds the maximum distribution difference over all possible binary partitions, the test statistic is based on generalized energy distance. The permutation test is used to estimate the pvalue of the hypothesis testing.
An object of class htt
. See htt.object
.
Jiaqi Hu
htt_control
, print.htt
, plot.htt
, predict.htt
## regression
data("Boston", package = "MASS")
Bostonhtt < HTT(medv ~ . , data = Boston, controls = htt_control(R = 99))
plot(Bostonhtt)
mean((Boston$medv  predict(Bostonhtt))^2)
## classification
irishtt < HTT(Species ~., data = iris)
plot(irishtt)
mean(iris$Species == predict(irishtt))
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