User-Friendly R Package for Supervised Machine Learning Pipelines R package mikropml version 1.7.0 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. Software 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 Kelly Sovacool <sovacool@umich.edu> Comprehensive R Archive Network (CRAN) 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>) MIT + file LICENSE (https://CRAN.R-project.org/package=mikropml/LICENSE) 2025-10-29 application/tgz https://CRAN.R-project.org/package=mikropml doi:10.32614/CRAN.package.mikropml