• rpart

  • Referenced in 117 articles [sw07115]
  • rpart: Recursive Partitioning. Recursive partitioning and regression trees. Recursive partitioning for classification, regression and survival...
  • BayesTree

  • Referenced in 57 articles [sw07995]
  • Models: Implementation of BART: Bayesian Additive Regression Trees. We develop a Bayesian “sum-of-trees ... model where each tree is constrained by a regularization prior to be a weak learner ... posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis...
  • mboost

  • Referenced in 52 articles [sw07331]
  • wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear...
  • randomForest

  • Referenced in 144 articles [sw10639]
  • regression. Classification and regression based on a forest of trees using random inputs...
  • party

  • Referenced in 25 articles [sw07330]
  • conditional inference trees which embed tree-structured regression models into a well defined theory ... procedures. This non-parametric class of regression trees is applicable to all kinds of regression ... covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman’s random forests ... split selection. Extensible functionality for visualizing tree-structured regression models is available...
  • tree

  • Referenced in 16 articles [sw11163]
  • package tree: Classification and Regression Trees: Classification and regression trees. Runs a K-fold cross...
  • SPOT

  • Referenced in 74 articles [sw06347]
  • tuning based on classical regression and analysis of variance techniques; tree-based models such...
  • evtree

  • Referenced in 10 articles [sw14304]
  • Optimal Trees. Commonly used classification and regression tree methods like the CART algorithm are recursive ... search over the parameter space of trees is to use global optimization methods like evolutionary ... learning globally optimal classification and regression trees in R. CPU and memory-intensive tasks...
  • partykit

  • Referenced in 20 articles [sw10634]
  • infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure...
  • bartMachine

  • Referenced in 8 articles [sw10962]
  • bartMachine: Machine learning with Bayesian additive regression trees. We present a new package ... implementing Bayesian additive regression trees (BART). The package introduces many new features for data analysis...
  • PLANET

  • Referenced in 5 articles [sw15434]
  • tree ensembles with mapreduce. Classification and regression tree learning on massive datasets is a common ... tree models over large datasets. PLANET defines tree learning as a series of distributed computations ... supports scalable construction of classification and regression trees, as well as ensembles of such models...
  • ranger

  • Referenced in 15 articles [sw14498]
  • dimensional data. Ensembles of classification, regression and survival trees are supported. We describe the implementation...
  • erboost

  • Referenced in 6 articles [sw26258]
  • covariates. This package implements a regression tree based gradient boosting estimator for nonparametric multiple expectile...
  • DTREG

  • Referenced in 4 articles [sw23356]
  • decision tree, Support Vector Machine, K-Means clustering, Linear Discriminant Function, Linear Regression or Logistic ... minutes. Classification and Regression Trees. DTREG can build Classification Trees where the target variable being ... predicted is categorical and Regression Trees where the target variable is continuous like income...
  • mvpart

  • Referenced in 5 articles [sw04576]
  • mvpart: Multivariate partitioning , Multivariate regression trees...
  • CORElearn

  • Referenced in 5 articles [sw10624]
  • regression, for example classification and regression trees with optional constructive induction and models ... forests, kNN, naive Bayes, and locally weighted regression. It is especially strong in feature evaluation...
  • MedTree

  • Referenced in 3 articles [sw12469]
  • novel algorithm to optimize classification trees. L. Breiman, J. H. Friedman, R. A. Olshen ... Stone [Classification and regression trees (1984; Zbl 0541.62042)] expounded a method called classification and regression ... trees, or CART, which is of use for nonparametric discrimination and regression. In this paper ... able to increase the quality of classification trees beyond the quality of trees, which...
  • dbarts

  • Referenced in 3 articles [sw23499]
  • package dbarts: Discrete Bayesian Additive Regression Trees Sampler. Fits Bayesian additive regression trees (BART; Chipman...
  • dynaTree

  • Referenced in 4 articles [sw07923]
  • sequential Monte Carlo for dynamic tree regression and classification models with hooks provided for sequential ... inputs. Illustrative examples from the original dynamic trees paper are facilitated by demos...
  • CARTopt

  • Referenced in 4 articles [sw08364]
  • using classification and regression trees (CART) from statistical pattern recognition. The CART partition defines desirable...