Package: mikropml
Title: User-Friendly R Package for Supervised Machine Learning
        Pipelines
Version: 0.0.2
Authors@R: c(
    person(given = "Begüm",
           family = "Topçuoğlu",
           role = c("aut"),
           email = "topcuoglu.begum@gmail.com",
           comment = c(ORCID = "0000-0003-3140-537X")
           ),
    person(given = "Zena",
           family = "Lapp",
           role = c("aut"),
           email = "zenalapp@umich.edu",
           comment = c(ORCID = "0000-0003-4674-2176")
           ),
    person(given = "Kelly",
           family = "Sovacool",
           role = c("aut", "cre"),
           email = "sovacool@umich.edu",
           comment = c(ORCID = "0000-0003-3283-829X")
           ),
    person(given = "Evan",
           family = "Snitkin",
           role = c('aut'),
           comment = c(ORCID = "0000-0001-8409-278X")),
    person(given = "Jenna",
           family = "Wiens",
           role = c('aut'),
           comment = c(ORCID = "0000-0002-1057-7722")),
    person(given = "Patrick",
           family = "Schloss",
           role = c('aut'),
           email = 'pschloss@umich.edu',
           comment = c(ORCID = "0000-0002-6935-4275")),
    person(given = "Nick",
           family = "Lesniak",
           role = c("ctb"),
           email = "nlesniak@umich.edu",
           comment = c(ORCID = "0000-0001-9359-5194")))
Date: 2020-12-02
URL: http://www.schlosslab.org/mikropml/,
        https://github.com/SchlossLab/mikropml
BugReports: https://github.com/SchlossLab/mikropml/issues
Description: An interface to build machine learning models for classification 
    and regression problems. 'mikropml' implements the ML pipeline described
    by Topçuoğlu et al. (2020) <doi:10.1128/mBio.00434-20> with reasonable 
    default options for data preprocessing, hyperparameter tuning, 
    cross-validation, testing, model evaluation, and interpretation steps. 
    See the website <http://www.schlosslab.org/mikropml/> for more information, 
    documentation, and examples.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: caret, dplyr, e1071, glmnet, kernlab, MLmetrics, randomForest,
        rlang, rpart, stats, utils, xgboost
Suggests: doFuture, foreach, future, future.apply, ggplot2, knitr,
        purrr, rmarkdown, testthat, tidyr
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-12-02 23:21:56 UTC; kelly
Author: Begüm Topçuoğlu [aut] (<https://orcid.org/0000-0003-3140-537X>),
  Zena Lapp [aut] (<https://orcid.org/0000-0003-4674-2176>),
  Kelly Sovacool [aut, cre] (<https://orcid.org/0000-0003-3283-829X>),
  Evan Snitkin [aut] (<https://orcid.org/0000-0001-8409-278X>),
  Jenna Wiens [aut] (<https://orcid.org/0000-0002-1057-7722>),
  Patrick Schloss [aut] (<https://orcid.org/0000-0002-6935-4275>),
  Nick Lesniak [ctb] (<https://orcid.org/0000-0001-9359-5194>)
Maintainer: Kelly Sovacool <sovacool@umich.edu>
Repository: CRAN
Date/Publication: 2020-12-03 08:10:02 UTC
