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ODRF  

Oblique Decision Random Forest for Classification and Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ODRF", "0.0.4")



Attach the package and use:
library("ODRF")
Maintained by
Yu Liu
[Scholar Profile | Author Map]
First Published: 2023-02-28
Latest Update: 2023-05-28
Description:
The oblique decision tree (ODT) uses linear combinations of predictors as partitioning variables in a decision tree. Oblique Decision Random Forest (ODRF) is an ensemble of multiple ODTs generated by feature bagging. Both can be used for classification and regression as supplements to the classical CART of Breiman (1984) and Random Forest of Breiman (2001) respectively.
How to cite:
Yu Liu (2023). ODRF: Oblique Decision Random Forest for Classification and Regression. R package version 0.0.4, https://cran.r-project.org/web/packages/ODRF. Accessed 01 May. 2025.
Previous versions and publish date:
0.0.2 (2023-02-28 18:12), 0.0.3 (2023-03-16 17:00), 0.0.4 (2023-05-28 06:20)
Other packages that cited ODRF R package
View ODRF citation profile
Other R packages that ODRF depends, imports, suggests or enhances
Complete documentation for ODRF
Functions, R codes and Examples using the ODRF R package
Full ODRF package functions and examples
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