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.
Creates classifier for binary outcomes using Adaptive Boosting (AdaBoost) algorithm on decision stumps with a fast C++ implementation. For a description of AdaBoost, see Freund and Schapire (1997) <doi:10.1006/jcss.1997.1504>. This type of classifier is nonlinear, but easy to interpret and visualize. Feature vectors may be a combination of continuous (numeric) and categorical (string, factor) elements. Methods for classifier assessment, predictions, and cross-validation also included.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.4.0) |
| Imports: | dplyr (≥ 0.7.6), rlang (≥ 0.2.1), Rcpp (≥ 0.12.17), stats (≥ 3.4) |
| LinkingTo: | Rcpp (≥ 0.12.17) |
| Suggests: | testthat |
| Published: | 2022-05-26 |
| Author: | Jadon Wagstaff [aut, cre] |
| Maintainer: | Jadon Wagstaff <jadonw at gmail.com> |
| BugReports: | https://github.com/jadonwagstaff/sboost/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/jadonwagstaff/sboost |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | sboost results |
| Reference manual: | sboost.pdf |
| Package source: | sboost_0.1.2.tar.gz |
| Windows binaries: | r-devel: sboost_0.1.2.zip, r-release: sboost_0.1.2.zip, r-oldrel: sboost_0.1.2.zip |
| macOS binaries: | r-release (arm64): sboost_0.1.2.tgz, r-oldrel (arm64): sboost_0.1.2.tgz, r-release (x86_64): sboost_0.1.2.tgz, r-oldrel (x86_64): sboost_0.1.2.tgz |
| Old sources: | sboost archive |
Please use the canonical form https://CRAN.R-project.org/package=sboost to link to this page.
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.