ctree: Conditional Inference Trees
نویسندگان
چکیده
This vignette describes the new reimplementation of conditional inference trees (CTree) in the R package partykit. CTree is a non-parametric class of regression trees embedding tree-structured regression models into a well defined theory of conditional inference procedures. It 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. The vignette comprises a practical guide to exploiting the flexible and extensible computational tools in partykit for fitting and visualizing conditional inference trees.
منابع مشابه
party: A Laboratory for Recursive Partytioning
The party package (Hothorn, Hornik, and Zeileis 2006) aims at providing a recursive part(y)itioning laboratory assembling various highand low-level tools for building tree-based regression and classification models. This includes conditional inference trees (ctree), conditional inference forests (cforest) and parametric model trees (mob). At the core of the package is ctree, an implementation o...
متن کاملDecision trees in epidemiological research
BACKGROUND In many studies, it is of interest to identify population subgroups that are relatively homogeneous with respect to an outcome. The nature of these subgroups can provide insight into effect mechanisms and suggest targets for tailored interventions. However, identifying relevant subgroups can be challenging with standard statistical methods. MAIN TEXT We review the literature on dec...
متن کاملevtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R
Commonly used classification and regression tree methods like the CART algorithm are recursive partitioning methods that build the model in a forward stepwise search. Although this approach is known to be an efficient heuristic, the results of recursive tree methods are only locally optimal, as splits are chosen to maximize homogeneity at the next step only. An alternative way to search over th...
متن کاملpartykit: A Toolkit for Recursive Partytioning
The partykit package provides a flexible toolkit with infrastructure for learning, representing, summarizing, and visualizing a wide range of tree-structured regression and classification models. The functionality encompasses: (a) Basic infrastructure for representing trees (inferred by any algorithm) so that unified print/plot/predict methods are available. (b) Dedicated methods for trees with...
متن کاملPartykit: a modular toolkit for recursive partytioning in R
The R package partykit provides a flexible toolkit for learning, representing, summarizing, and visualizing a wide range of tree-structured regression and classification models. The functionality encompasses: (a) basic infrastructure for representing trees (inferred by any algorithm) so that unified print/plot/predict methods are available; (b) dedicated methods for trees with constant fits in ...
متن کامل