require(rpart)  #the function "rpart" implements the estimation of trees
require(MASS)   #For the iris data example
require(mboost) #The implementation chosen for boosting


data(iris)

##Setting cp, the complexity parameter, 
irisTree <- rpart(Species~.,data=iris,cp=0.001)

plot(irisTree,margin=0.1)
text(irisTree,use.n=TRUE)
printcp(irisTree)


###Note that for classification, mboost relies on the encoding of y as +1 and -1

iris.tree <- rpart(Species~.,data=iris)


?blackboost
?glmboost
?gamboost