A Laboratory for Recursive Part(y)itioning
Description
Unbiased recursive partitioning in a conditional
inference framework. This package implements a unified
framework for recursive partitioning which embeds tree-structured
regression models into a well defined theory of conditional inference
procedures. Stopping criteria based on multiple test procedures
are implemented. The methodology 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. Extensible functionality for visualizing
tree-structured regression models is available.