Package

r-party

Description

A Laboratory for Recursive Partytioning. A computational toolbox for
recursive partitioning. The core of the package is ctree(), an
implementation of conditional inference trees which embed tree-
structured regression models into a well defined theory of conditional
inference procedures. This non-parametric class of regression trees is
applicable to all kinds of regression problems, including nominal,
ordinal, numeric, censored as well as multivariate response variables
and arbitrary measurement scales of the covariates. Based on conditional
inference trees, cforest() provides an implementation of Breiman's
random forests. The function mob() implements an algorithm for recursive
partitioning based on parametric models (e.g. linear models, GLMs or
survival regression) employing parameter instability tests for split
selection. Extensible functionality for visualizing tree-structured
regression models is available. The methods are described in Hothorn et
al. (2006) <doi:10.1198/106186006X133933>, Zeileis et al. (2008)
<doi:10.1198/106186008X319331> and Strobl et al. (2007)
<doi:10.1186/1471-2105-8-25>.

Note