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brif  

A Tree and Forest Tool for Classification and Regression
View on CRAN: Click here


Download and install brif package within the R console
Install from CRAN:
install.packages("brif")

Install from Github:
library("remotes")
install_github("cran/brif")

Install by package version:
library("remotes")
install_version("brif", "1.4.1")



Attach the package and use:
library("brif")
Maintained by
Yanchao Liu
[Scholar Profile | Author Map]
First Published: 2022-11-28
Latest Update: 2023-01-29
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' .
How to cite:
Yanchao Liu (2022). brif: A Tree and Forest Tool for Classification and Regression. R package version 1.4.1, https://cran.r-project.org/web/packages/brif. Accessed 10 Apr. 2025.
Previous versions and publish date:
1.1 (2022-11-28 16:00), 1.2.0 (2022-12-01 13:20), 1.4.0 (2023-01-13 09:10)
Other packages that cited brif R package
View brif citation profile
Other R packages that brif depends, imports, suggests or enhances
Complete documentation for brif
Functions, R codes and Examples using the brif R package
Some associated functions: brif-package . brif.default . brif.formula . brif . brif.trainpredict . brifTree.default . brifTree.formula . brifTree . brif_write_data . predict.brif . printBrifTree . printRules . rfpredict . rftrain . rftrainpredict . stratpar . 
Some associated R codes: RcppExports.R . brif.R .  Full brif package functions and examples
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