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ODRF
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ODRF . https://github.com/liuyu-star/ODRF/issues . https://liuyu-star.github.io/ODRF/ . ODRF citation info . ODRF results . ODRF.pdf . ODRF_0.0.5.tar.gz . ODRF_0.0.5.zip . ODRF_0.0.5.zip . ODRF_0.0.5.zip . ODRF_0.0.5.tgz . ODRF_0.0.5.tgz . ODRF_0.0.5.tgz . ODRF_0.0.5.tgz . ODRF archive . https://CRAN.R-project.org/package=ODRF .
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:
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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