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
NeedsCompilation: yes
Packaged: 2022-05-25 21:11:26 UTC; Home
Author: Jadon Wagstaff [aut, cre]
Maintainer: Jadon Wagstaff <jadonw@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-26 13:10:02 UTC
Built: R 4.5.2; x86_64-w64-mingw32; 2025-12-23 04:33:39 UTC; windows
Archs: x64
