Package: easyml
Version: 0.1.0
Title: Easily Build and Evaluate Machine Learning Models
Description: Easily build and evaluate machine learning models on a dataset. Machine 
    learning models supported include penalized linear models, penalized linear models 
    with interactions, random forest, support vector machines, neural networks, 
    and deep neural networks.
Authors@R: c(
  person("Woo-Young", "Ahn", , "ahn.280@osu.edu", c("aut", "cre")),
  person("Paul", "Hendricks", , "paul.hendricks.2013@owu.edu", "aut"),
  person("OSU-CCSL", role = "cph"))
License: MIT + file LICENSE
LazyData: true
Depends: R (>= 3.3.1)
Imports: caret, corrplot, darch, dummies, e1071, futile.logger,
        ggplot2, glinternet, glmnet, parallel, pbapply, pbmcapply,
        pROC, nnet, randomForest, scales, scorer
Suggests: covr, lintr, testthat, knitr, rmarkdown
URL: https://github.com/CCS-Lab/easyml
BugReports: https://github.com/CCS-Lab/easyml/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-06-26 00:34:41 UTC; paulhendricks
Author: Woo-Young Ahn [aut, cre],
  Paul Hendricks [aut],
  OSU-CCSL [cph]
Maintainer: Woo-Young Ahn <ahn.280@osu.edu>
Repository: CRAN
Date/Publication: 2017-06-26 06:13:47 UTC
