party v0.9-4

A Laboratory for Recursive Part(y)itioning

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. Similar in spirit, the function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) based on parameter instability tests. Furthermore, cforest() provides an implementation of Breiman's random forests based on conditional inference trees. Extensible functionality for visualizing tree-structured regression models is available.