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E2E: Ensemble Learning Framework for Diagnostic and Prognostic Modeling
Provides a framework to build and evaluate diagnosis or prognosis models using stacking, voting, and bagging ensemble techniques with various base learners. The package also includes tools for visualization and interpretation of models. The development version of the package is available on 'GitHub' at <https://github.com/xiaojie0519/E2E>. The methods are based on the foundational work of Breiman (1996) <doi:10.1007/BF00058655> on bagging and Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1> on stacking.
Getting started
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Package details |
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| Author | Shanjie Luan [aut, cre] |
| Maintainer | Shanjie Luan <Luan20050519@163.com> |
| License | MIT + file LICENSE |
| Version | 0.0.3 |
| URL | https://xiaojie0519.github.io/E2E/ |
| Package repository | View on CRAN |
| Installation |
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