Package: mikropml
Title: User-Friendly R Package for Supervised Machine Learning
        Pipelines
Version: 1.2.2
Date: 2022-02-02
Authors@R: 
    c(person(given = "Begüm",
             family = "Topçuoğlu",
             role = "aut",
             email = "topcuoglu.begum@gmail.com",
             comment = c(ORCID = "0000-0003-3140-537X")),
      person(given = "Zena",
             family = "Lapp",
             role = "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 = "aut",
             comment = c(ORCID = "0000-0001-8409-278X")),
      person(given = "Jenna",
             family = "Wiens",
             role = "aut",
             comment = c(ORCID = "0000-0002-1057-7722")),
      person(given = "Patrick",
             family = "Schloss",
             role = "aut",
             email = "pschloss@umich.edu",
             comment = c(ORCID = "0000-0002-6935-4275")),
      person(given = "Nick",
             family = "Lesniak",
             role = "ctb",
             email = "nlesniak@umich.edu",
             comment = c(ORCID = "0000-0001-9359-5194")),
      person(given = "Courtney",
             family = "Armour",
             role = "ctb",
             email = "armourc@umich.edu",
             comment = c(ORCID = "0000-0002-5250-1224")),
      person(given = "Sarah",
             family = "Lucas",
             role = "ctb",
             email = "salucas@umich.edu",
             comment = c(ORCID = "0000-0003-1676-5801")))
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
    <https://www.schlosslab.org/mikropml/> for more information,
    documentation, and examples.
License: MIT + file LICENSE
URL: https://www.schlosslab.org/mikropml/,
        https://github.com/SchlossLab/mikropml
BugReports: https://github.com/SchlossLab/mikropml/issues
Depends: R (>= 2.10)
Imports: caret, dplyr, e1071, glmnet, kernlab, MLmetrics, randomForest,
        rlang, rpart, stats, utils, xgboost
Suggests: doFuture, foreach, future, future.apply, ggplot2, knitr,
        progress, progressr, purrr, rmarkdown, testthat, tidyr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2022-02-03 15:22:29 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>),
  Courtney Armour [ctb] (<https://orcid.org/0000-0002-5250-1224>),
  Sarah Lucas [ctb] (<https://orcid.org/0000-0003-1676-5801>)
Maintainer: Kelly Sovacool <sovacool@umich.edu>
Repository: CRAN
Date/Publication: 2022-02-03 22:50:02 UTC
Built: R 4.0.5; ; 2022-04-18 08:13:06 UTC; windows
