Package: exprso
Title: Rapid Deployment of Machine Learning Algorithms
Version: 0.2.6
URL: http://github.com/tpq/exprso
BugReports: http://github.com/tpq/exprso/issues
Authors@R: c(
    person("Thomas", "Quinn", email = "contacttomquinn@gmail.com", role = c("aut", "cre")),
    person("Daniel", "Tylee", email = "dantylee@gmail.com", role = "ctb")
    )
Description: Supervised machine learning has an increasingly important role in data
    analysis. This package introduces a framework for rapidly building and deploying
    supervised machine learning in a high-throughput manner. This package provides a
    user-friendly interface that empowers investigators to execute state-of-the-art
    binary and multi-class classification, as well as regression, with minimal
    programming experience necessary.
License: GPL-2
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Imports: cluster, MASS, e1071, lattice, methods, nnet, plyr, stats,
        randomForest, ROCR, sampling
Depends: R (>= 3.2.2), kernlab
Suggests: Biobase, edgeR, GEOquery, h2o, knitr, limma, magrittr, mRMRe,
        pathClass, propr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2017-11-30 22:40:03 UTC; thom
Author: Thomas Quinn [aut, cre],
  Daniel Tylee [ctb]
Maintainer: Thomas Quinn <contacttomquinn@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-30 22:47:56 UTC
