DESCRIPTION

Package: privateEC
Type: Package
Title: Privacy Preserving Evaporative Cooling Feature Selection and Classification with 
  Relief-F and Random Forests
Version: 0.99
Date: 2017-08-11
Authors@R: as.person(c(
    "Brett McKinney <brett-mckinney@utulsa.edu> [aut, cre]", 
    "Trang Le <trang-le@utulsa.edu> [aut]",
    "Bill White <bill.c.white@gmail.com> [aut]",
    "Saeid Parvandeh <parvandehsaied@gmail.com> [aut]"
  ))
Description: The privateEC algorithm along with other comparison algorithms used in the 
    Bioinformatics paper referenced below: 
    Trang T. Le, W. K. Simmons, M. Misaki, B.C. White, J. Savitz, J. Bodurka, and 
    B. A. McKinney. “Differential privacy-based Evaporative Cooling feature selection 
    and classification with Relief-F and Random Forests,” Bioinformatics. 
    https://doi.org/10.1093/bioinformatics/btx298. 2017.
URL: http:/insilico.utulsa.edu/privateEC
License: GPL-3
Depends: R (>= 3.1.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports:
    e1071,
    randomForest,
    xgboost,
    CORElearn,
    reshape2,
    igraph,
    methods,
    caret,
    glmnet,
    stats,
    utils
Suggests: 
    testthat,
    knitr,
    rmarkdown,
    devtools,
    roxygen2
VignetteBuilder: knitr