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RLT: Reinforcement Learning Trees
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) <doi:10.1080/01621459.2015.1036994>, subject weight, variable weight, tracking subjects used in each tree, etc.
Getting started
Browse package contents
Package details |
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| Author | Ruoqing Zhu [aut, cre, cph] (<https://orcid.org/0000-0002-0753-5716>) |
| Maintainer | Ruoqing Zhu <teazrq@gmail.com> |
| License | GPL (>= 2) |
| Version | 3.2.6 |
| URL | https://cran.r-project.org/package=RLT |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the RLT package in your browser
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