Package: mikropml
Title: User-Friendly R Package for Supervised Machine Learning
        Pipelines
Version: 1.7.0.9000
Authors@R: c(
    person("Begüm", "Topçuoğlu", , "topcuoglu.begum@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-3140-537X")),
    person("Zena", "Lapp", , "zenalapp@umich.edu", role = "aut",
           comment = c(ORCID = "0000-0003-4674-2176")),
    person("Kelly", "Sovacool", , "sovacool@umich.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-3283-829X")),
    person("Evan", "Snitkin", role = "aut",
           comment = c(ORCID = "0000-0001-8409-278X")),
    person("Jenna", "Wiens", role = "aut",
           comment = c(ORCID = "0000-0002-1057-7722")),
    person("Patrick", "Schloss", , "pschloss@umich.edu", role = "aut",
           comment = c(ORCID = "0000-0002-6935-4275")),
    person("Nick", "Lesniak", , "nlesniak@umich.edu", role = "ctb",
           comment = c(ORCID = "0000-0001-9359-5194")),
    person("Courtney", "Armour", , "armourc@umich.edu", role = "ctb",
           comment = c(ORCID = "0000-0002-5250-1224")),
    person("Sarah", "Lucas", , "salucas@umich.edu", role = "ctb",
           comment = c(ORCID = "0000-0003-1676-5801")),
    person("Tuomas", "Borman", role = "ctb",
           comment = c(ORCID = "0000-0002-8563-8884"))
  )
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 (>= 4.1.0)
Imports: caret, dplyr, e1071, glmnet, kernlab, methods, MLmetrics,
        randomForest, rlang, rpart, S4Vectors, SingleCellExperiment,
        stats, SummarizedExperiment, tidyselect,
        TreeSummarizedExperiment, utils, xgboost
Suggests: assertthat, doFuture, forcats, foreach, furrr, future,
        future.apply, ggplot2, knitr, progress, progressr, purrr,
        rmarkdown, roxygen2, rsample, styler, testthat, tidyr, usethis
VignetteBuilder: knitr
biocViews:
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev
Repository: https://schlosslab.r-universe.dev
Date/Publication: 2025-11-03 15:01:36 UTC
RemoteUrl: https://github.com/schlosslab/mikropml
RemoteRef: HEAD
RemoteSha: 296d31611228c58b765f80e5aad18e46eff00272
NeedsCompilation: no
Packaged: 2026-07-04 18:49:08 UTC; root
Author: Begüm Topçuoğlu [aut] (ORCID: <https://orcid.org/0000-0003-3140-537X>),
  Zena Lapp [aut] (ORCID: <https://orcid.org/0000-0003-4674-2176>),
  Kelly Sovacool [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-3283-829X>),
  Evan Snitkin [aut] (ORCID: <https://orcid.org/0000-0001-8409-278X>),
  Jenna Wiens [aut] (ORCID: <https://orcid.org/0000-0002-1057-7722>),
  Patrick Schloss [aut] (ORCID: <https://orcid.org/0000-0002-6935-4275>),
  Nick Lesniak [ctb] (ORCID: <https://orcid.org/0000-0001-9359-5194>),
  Courtney Armour [ctb] (ORCID: <https://orcid.org/0000-0002-5250-1224>),
  Sarah Lucas [ctb] (ORCID: <https://orcid.org/0000-0003-1676-5801>),
  Tuomas Borman [ctb] (ORCID: <https://orcid.org/0000-0002-8563-8884>)
Maintainer: Kelly Sovacool <sovacool@umich.edu>