
rpart
 Referenced in 153 articles
[sw07115]
 rpart: Recursive Partitioning. Recursive partitioning and regression trees. Recursive partitioning for classification, regression and survival...

BartPy
 Referenced in 83 articles
[sw40584]
 BART: Bayesian additive regression trees. We develop a Bayesian “sumoftrees” model where each ... tree is constrained by a regularization prior to be a weak learner, and fitting ... posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis...

BayesTree
 Referenced in 64 articles
[sw07995]
 Models: Implementation of BART: Bayesian Additive Regression Trees. We develop a Bayesian “sumoftrees ... 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 67 articles
[sw07331]
 wise (penalised) least squares estimates or regression trees as baselearners for fitting generalized linear...

randomForest
 Referenced in 193 articles
[sw10639]
 regression. Classification and regression based on a forest of trees using random inputs...

party
 Referenced in 27 articles
[sw07330]
 conditional inference trees which embed treestructured regression models into a well defined theory ... procedures. This nonparametric 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 treestructured regression models is available...

tree
 Referenced in 18 articles
[sw11163]
 package tree: Classification and Regression Trees: Classification and regression trees. Runs a Kfold cross...

SPOT
 Referenced in 87 articles
[sw06347]
 tuning based on classical regression and analysis of variance techniques; treebased models such...

ranger
 Referenced in 42 articles
[sw14498]
 dimensional data. Ensembles of classification, regression and survival trees are supported. We describe the implementation...

partykit
 Referenced in 26 articles
[sw10634]
 infrastructure for representing, summarizing, and visualizing treestructured regression and classification models. This unified infrastructure...

evtree
 Referenced in 11 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 memoryintensive tasks...

bartMachine
 Referenced in 10 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...

BART
 Referenced in 7 articles
[sw32161]
 package BART: Bayesian Additive Regression Trees. Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling...

erboost
 Referenced in 10 articles
[sw26258]
 covariates. This package implements a regression tree based gradient boosting estimator for nonparametric multiple expectile...

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...

BARTBMA
 Referenced in 5 articles
[sw23498]
 Bayesian additive regression trees using Bayesian model averaging. Bayesian Additive Regression Trees (BART...

dbarts
 Referenced in 4 articles
[sw23499]
 package dbarts: Discrete Bayesian Additive Regression Trees Sampler. Fits Bayesian additive regression trees (BART; Chipman...

DTREG
 Referenced in 4 articles
[sw23356]
 decision tree, Support Vector Machine, KMeans 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...

synthpop
 Referenced in 6 articles
[sw17416]
 data using parametric or classification and regression trees models. Data are synthesised via the function...

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