Package: sboost
Type: Package
Title: Machine Learning with AdaBoost on Decision Stumps
Version: 0.1.0
Authors@R: person("Jadon", "Wagstaff", email = "jadonw@gmail.com", role = c("aut", "cre"))
Description: Creates classifier for binary outcomes using Freund and Schapire's Adaptive 
    Boosting (AdaBoost) algorithm on decision stumps with a fast C++ implementation. 
    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: 6.1.0
Suggests: testthat
NeedsCompilation: yes
Packaged: 2018-10-19 18:01:47 UTC; u0590631
Author: Jadon Wagstaff [aut, cre]
Maintainer: Jadon Wagstaff <jadonw@gmail.com>
Repository: CRAN
Date/Publication: 2018-10-28 22:40:03 UTC
