Package: sboost
Type: Package
Title: Machine Learning with AdaBoost on Decision Stumps
Version: 0.1.2
Authors@R: person("Jadon", "Wagstaff", email = "jadonw@gmail.com", role = c("aut", "cre"))
Description: 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.
License: MIT + file LICENSE
URL: https://github.com/jadonwagstaff/sboost
BugReports: https://github.com/jadonwagstaff/sboost/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
LinkingTo: Rcpp (>= 0.12.17)
Imports: dplyr (>= 0.7.6), rlang (>= 0.2.1), Rcpp (>= 0.12.17), stats
        (>= 3.4)
RoxygenNote: 7.1.2
Suggests: testthat
Repository: https://jadonwagstaff.r-universe.dev
Date/Publication: 2022-05-12 15:41:09 UTC
RemoteUrl: https://github.com/jadonwagstaff/sboost
RemoteRef: HEAD
RemoteSha: aee40380808cbb13b8c43472e38a970c541791b9
NeedsCompilation: yes
Packaged: 2026-06-22 09:18:21 UTC; root
Author: Jadon Wagstaff [aut, cre]
Maintainer: Jadon Wagstaff <jadonw@gmail.com>