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ranktreeEnsemble: Ensemble Models of Rank-Based Trees with Extracted Decision Rules
Fast computing an ensemble of rank-based trees via boosting or random forest on binary and multi-class problems. It converts continuous gene expression profiles into ranked gene pairs, for which the variable importance indices are computed and adopted for dimension reduction. Decision rules can be extracted from trees.
Getting started
Browse package contents
Package details |
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| Author | Ruijie Yin [aut], Chen Ye [aut], Min Lu [aut, cre] (<https://orcid.org/0000-0002-1386-1315>) |
| Maintainer | Min Lu <luminwin@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.23 |
| URL | https://github.com/TransBioInfoLab/ranktreeEnsemble/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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