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 |
| DOI: | 10.32614/CRAN.package.sboost |
| Author: | Jadon Wagstaff [aut, cre] |
| Maintainer: | Jadon Wagstaff <jadonw at gmail.com> |
| BugReports: | https://github.com/jadonwagstaff/sboost/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/jadonwagstaff/sboost |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | sboost results |
| Reference manual: | sboost.html ,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 formhttps://CRAN.R-project.org/package=sboostto link to this page.