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RLT  

Reinforcement Learning Trees
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RLT", "3.2.6")



Attach the package and use:
library("RLT")
Maintained by
Ruoqing Zhu
[Scholar Profile | Author Map]
First Published: 2017-04-09
Latest Update: 2023-04-28
Description:
Random forest with a variety of additional features for regression, classification and survival analysis. The features include: parallel computing with OpenMP, embedded model for selecting the splitting variable, based on Zhu, Zeng & Kosorok (2015) , subject weight, variable weight, tracking subjects used in each tree, etc.
How to cite:
Ruoqing Zhu (2017). RLT: Reinforcement Learning Trees. R package version 3.2.6, https://cran.r-project.org/web/packages/RLT. Accessed 15 Apr. 2025.
Previous versions and publish date:
3.1.0 (2017-04-09 23:25), 3.2.0 (2017-11-17 23:39), 3.2.1 (2017-11-19 18:27), 3.2.2 (2018-08-20 20:10), 3.2.3 (2021-09-04 19:10), 3.2.4 (2022-01-25 11:12), 3.2.5 (2023-02-18 00:40)
Other packages that cited RLT R package
View RLT citation profile
Other R packages that RLT depends, imports, suggests or enhances
Complete documentation for RLT
Functions, R codes and Examples using the RLT R package
Some associated functions: MuteRate . RLT . predict.RLT . print.RLT . 
Some associated R codes: Full RLT package functions and examples
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