Efficient implementation of component-wise gradient boosting (Buehlmann, P., Hothorn, T. (2007) <doi:10.1214/07-STS242>). The package applies the boosting framework to statistical models, e.g., general additive models using component-wise smoothing splines. Boosting these kinds of base components enables interpretation of the model and enables (unbiased) model selection in high-dimensional feature spaces (Hofner et al. (2011) <doi:10.1198/jcgs.2011.09220>).
Package details |
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Maintainer | Daniel Schalk <schalkdaniel242@gmail.com> |
License | LGPL (>= 3) |
Version | 0.1.2 |
URL | https://danielschalk.com/compboost/ https://github.com/schalkdaniel/compboost/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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