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brif (version 1.4.1)

A Tree and Forest Tool for Classification and Regression

Description

Build decision trees and random forests for classification and regression. The implementation strikes a balance between minimizing computing efforts and maximizing the expected predictive accuracy, thus scales well to large data sets. Multi-threading is available through 'OpenMP' .

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Version

Install

install.packages('brif')

Monthly Downloads

224

Version

1.4.1

License

GPL (>= 2)

Maintainer

Yanchao Liu

Last Published

January 29th, 2023

Functions in brif (1.4.1)

printRules

Print the decision rules of a brif tree
printBrifTree

Print the decision rules of a Brif tree
rfpredict

Predict new cases
rftrain

Train a random forest
rftrainpredict

Train a model and predict for newdata in one go
stratpar

Stratified permutation of rows by the first column
brifTree

Build a single brif tree of a given depth
brif-package

brif: A tree and forest tool for classification and regression
brifTree.formula

Build a single brif tree taking a formula as input
brif_write_data

Write data set to file
brif

Build a model (and make predictions)
brifTree.default

Build a single brif tree taking a data frame as input
brif.trainpredict

Train a model and use it to predict new cases
predict.brif

Make predictions using a brif model
brif.formula

Build a model (and make predictions) with formula
brif.default

Build a model taking a data frame as input