BESTree: Branch-Exclusive Splits Trees

Package: BESTree 0.5.2

Beaulac Cedric

BESTree: Branch-Exclusive Splits Trees

Decision tree algorithm with a major feature added. Allows for users to define an ordering on the partitioning process. Resulting in Branch-Exclusive Splits Trees (BEST). Cedric Beaulac and Jeffrey S. Rosentahl (2019) <arxiv:1804.10168>.

Authors:Beaulac Cedric [aut, cre]

BESTree_0.5.2.tar.gz
BESTree_0.5.2.tar.gz(r-4.7-any)BESTree_0.5.2.tar.gz(r-4.6-any)
BESTree_0.5.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BESTree/json (API)

# Install 'BESTree' in R:

install.packages('BESTree', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

Data - Data generated according to decision tree for simulation purposes
Fit - Data generated according to decision tree for simulation purposes

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 3 scripts 247 downloads 1 mentions 10 exports 2 dependencies

Last updated from:ef745d9331. Checks:2 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	130
source / vignettes	OK	162
linux-release-x86_64	NOTE	126
wasm-release	OK	133

Exports:Acc BaggedBEST BEST BESTForest ForgeVA FPredict MPredict Predict TreePruning VI

Dependencies:plyr Rcpp

How to use BEST ?

Rendered frommy-vignette.Rmdusingknitr::rmarkdown

Help page	Topics
Computes the proportion of matching terms in two vectors of the same length. Used to compute the accuracy for prediction on test set.	Acc
Performs Bootstrap Aggregating of BEST trees	BaggedBEST
Main function of the package. It produces Classification Trees with Branch-Exclusive variables.	BEST
Generates a random forest of BEST trees	BESTForest
Data generated according to decision tree for simulation purposes	Data
Data generated according to decision tree for simulation purposes	Fit
Quickly build the Available Variable list necessary for BEST This list contains details as to which variables is available for the partitioning. It also contains which variables are gating variables.	ForgeVA
Emits prediction from a forest of BEST's	FPredict
Classify a set of new observation points	MPredict
Classify a new observation point	Predict
Uses a Validation Set to select the best trees within the list of pruned trees.	TreePruning
Produces a variable important analysis using the mean decrease in node impurity	VI

Help page

Topics

Computes the proportion of matching terms in two vectors of the same length. Used to compute the accuracy for prediction on test set.

Acc

Performs Bootstrap Aggregating of BEST trees

BaggedBEST

Main function of the package. It produces Classification Trees with Branch-Exclusive variables.

BEST

Generates a random forest of BEST trees

BESTForest

Data generated according to decision tree for simulation purposes

Data