Package: bbl
Title: Boltzmann Bayes Learner
Version: 0.3.1
Authors@R: c(person("Jun","Woo",role=c("aut","cre"),
                     email="junwoo035@gmail.com",
                     comment=c(ORCID="0000-0003-3220-2064")), 
             person("Jinhua","Wang", role=c("ctb")))
Maintainer: Jun Woo <junwoo035@gmail.com>
Depends: R (>= 3.6.0)
Imports: methods, stats, utils, Rcpp (>= 0.12.16), pROC, RColorBrewer
Description: Supervised learning using Boltzmann Bayes model inference, 
    which extends naive Bayes model to include interactions. Enables 
    classification of data into multiple response groups based on a large 
    number of discrete predictors that can take factor values of 
    heterogeneous levels. Either pseudo-likelihood or mean field 
    inference can be used with L2 regularization, cross-validation, and 
    prediction on new data. 
    Woo et al. (2016) <doi:10.1186/s12864-016-2871-3>.
License: GPL (>= 2)
LinkingTo: Rcpp
Encoding: UTF-8
RoxygenNote: 7.0.0
NeedsCompilation: yes
Suggests: glmnet, BiocManager, Biostrings
Author: Jun Woo [aut, cre] (<https://orcid.org/0000-0003-3220-2064>),
  Jinhua Wang [ctb]
Repository: CRAN
Packaged: 2020-03-11 02:50:12 UTC; junwoo
Date/Publication: 2020-03-11 11:30:03 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 07:07:14 UTC; windows
Archs: i386, x64
