bagRboostR is a set of ensemble classifiers for multinomial classification. The bagging function is the implementation of Breiman's ensemble as described by Opitz & Maclin (1999). The boosting function is the implementation of Stagewise Additive Modeling using a Multi-class Exponential loss function (SAMME) created by Zhu et al (2006). Both bagging and SAMME implementations use randomForest as the weak classifier and expect a character outcome variable. Each ensemble classifier returns a character vector of predictions for the test set.
Package details |
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Author | Shannon Rush <shannonmrush@gmail.com> |
Maintainer | Shannon Rush <shannonmrush@gmail.com> |
License | MIT + file LICENSE |
Version | 0.0.2 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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