The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

To cite package 'bst' in publications use:

Wang Z (2022). bst: Gradient Boosting. R package version 0.3-24, https://CRAN.R-project.org/package=bst.

Wang Z (2011). “HingeBoost: ROC-Based Boost for Classification and Variable Selection.” The International Journal of Biostatistics, 7(1), Article 13.

Wang Z (2012). “Multi-class HingeBoost: Method and Application to the Classification of Cancer Types Using Gene Expression Data.” Methods of Information in Medicine, 51(2), 162–167.

Wang Z (2018). “Quadratic Majorization for Nonconvex Loss with Applications to the Boosting Algorithm.” Journal of Computational and Graphical Statistics, 27(3), 491-502. doi:10.1080/10618600.2018.1424635.

Wang Z (2018). “Robust boosting with truncated loss functions.” Electronic Journal of Statistics, 12(1), 599–650. doi:10.1214/18-EJS1404.

Use ‘toBibtex(citation("bst"))’ to extract BibTeX references.

Corresponding BibTeX entries:

  @Manual{,
    title = {bst: Gradient Boosting},
    author = {Zhu Wang},
    year = {2022},
    note = {{R} package version 0.3-24},
    url = {https://CRAN.R-project.org/package=bst},
  }
  @Article{,
    title = {{HingeBoost: ROC}-Based Boost for Classification and
      Variable Selection},
    author = {Zhu Wang},
    journal = {The International Journal of Biostatistics},
    year = {2011},
    volume = {7},
    number = {1},
    pages = {Article 13},
  }
  @Article{,
    title = {Multi-class {HingeBoost}: Method and Application to the
      Classification of Cancer Types Using Gene Expression Data},
    author = {Zhu Wang},
    journal = {Methods of Information in Medicine},
    year = {2012},
    volume = {51},
    number = {2},
    pages = {162--167},
  }
  @Article{,
    title = {Quadratic Majorization for Nonconvex Loss with
      Applications to the Boosting Algorithm},
    author = {Zhu Wang},
    journal = {Journal of Computational and Graphical Statistics},
    year = {2018},
    volume = {27},
    number = {3},
    pages = {491-502},
    doi = {10.1080/10618600.2018.1424635},
  }
  @Article{,
    title = {Robust boosting with truncated loss functions},
    author = {Zhu Wang},
    journal = {Electronic Journal of Statistics},
    year = {2018},
    volume = {12},
    number = {1},
    pages = {599--650},
    doi = {10.1214/18-EJS1404},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.