edpart

Ed's recursive partitioning and regression trees package to reproduce some results of the rpart package. The edpart package is incomplete and will probably never be completed. It is written purely in R with no dependencies, so it might be useful for self-study. Here is an example of its use:

library("edpart")
data(Boston, package = "MASS")

## tree predicting medv based on the first 13 variables
efit <- edpart(Boston$medv, Boston[,1:13])

## returns cptable akin to rpart's cptable
efit

## comparison to rpart
library("rpart")
rfit <- rpart(medv ~ ., data = Boston)
rfit$cptable

If you are interested in citing this package, I prefer that you cite the paper below instead (the package was used to write the paper):

Merkle, E. C. & Shaffer, V. A. (2011). Binary recursive partitioning: Background, methods, and application to psychology. British Journal of Mathematical and Statistical Psychology, 64, 161--181. (DOI: 10.1348/000711010X503129)