c(person("Terry", "Therneau", role = "aut",
email = "therneau@mayo.edu"),
person("Beth", "Atkinson", role = "aut",
email = "atkinson@mayo.edu"),
person("Brian", "Ripley", role = c("trl", "cre"),
email = "ripley@stats.ox.ac.uk",
comment = "producer of the initial R port"))
Terry Therneau [aut],
Beth Atkinson [aut],
Brian Ripley [trl, cre] (producer of the initial R port)

c(person("Terry", "Therneau", role = "aut",
email = "therneau@mayo.edu"),
person("Beth", "Atkinson", role = c("aut", "cre"),
email = "atkinson@mayo.edu"),
person("Brian", "Ripley", role = "trl",
email = "ripley@stats.ox.ac.uk",
comment = "producer of the initial R port, maintainer 1999-2017"))
Terry Therneau [aut],
Beth Atkinson [aut, cre],
Brian Ripley [trl] (producer of the initial R port, maintainer
1999-2017)

c(person("Terry", "Therneau", role = "aut",
email = "therneau@mayo.edu"),
person("Beth", "Atkinson", role = "aut",
email = "atkinson@mayo.edu"),
person("Brian", "Ripley", role = c("aut", "trl", "cre"),
email = "ripley@stats.ox.ac.uk",
comment = "author of R port"))
Terry Therneau [aut],
Beth Atkinson [aut],
Brian Ripley [aut, trl, cre] (author of R port)

Least Absolute Deviation Regression Trees
Recursive partitioning for least absolute deviation regression trees. Another algorithm from the 1984 book by
Breiman, Friedman, Olshen and Stone in addition to the 'rpart' package (Breiman, Friedman, Olshen, Stone (1984, ISBN:9780412048418).

Performs permutation tests of rpart models.

Plot rpart models.  An enhanced version of plot.rpart.
Stephen Milborrow, borrowing heavily from the rpart package by
Terry M. Therneau and Beth Atkinson, and the R port of that
package by Brian Ripley.
Plot rpart models. Extends plot.rpart and text.rpart in
the rpart package.

Plot rpart Models.  An Enhanced Version of plot.rpart

Plot 'rpart' Models: An Enhanced Version of 'plot.rpart'
Plot 'rpart' models. Extends plot.rpart() and text.rpart()
in the 'rpart' package.

Tools for parsing and manipulating rpart objects, including
generating machine readable rules.
This package contains additional tools for working with rpart
objects.  Most importantly, it includes methods for converting rpart rules
into a series of structured tables sufficient for executing the decision
tree completely in SQL.