Package: MachineShop
Type: Package
Title: Machine Learning Models and Tools
Version: 3.9.2
Date: 2026-01-30
Authors@R: person(c("Brian", "J"), "Smith",
                  email = "brian-j-smith@uiowa.edu",
                  role = c("aut", "cre"))
Author: Brian J Smith [aut, cre]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>
Description: Meta-package for statistical and machine learning with a
        unified interface for model fitting, prediction, performance
        assessment, and presentation of results.  Approaches for model
        fitting and prediction of numerical, categorical, or censored
        time-to-event outcomes include traditional regression models,
        regularization methods, tree-based methods, support vector
        machines, neural networks, ensembles, data preprocessing,
        filtering, and model tuning and selection.  Performance metrics
        are provided for model assessment and can be estimated with
        independent test sets, split sampling, cross-validation, or
        bootstrap resampling.  Resample estimation can be executed in
        parallel for faster processing and nested in cases of model
        tuning and selection.  Modeling results can be summarized with
        descriptive statistics; calibration curves; variable
        importance; partial dependence plots; confusion matrices; and
        ROC, lift, and other performance curves.
Depends: R (>= 4.1.0)
Imports: abind, cli (>= 3.1.0), dials (>= 0.0.4), foreach, ggplot2 (>=
        3.4.0), kernlab, magrittr, Matrix (>= 1.5-0), methods, nnet,
        party, polspline, progress, recipes (>= 1.0.0), rlang, rsample
        (>= 1.1.0), Rsolnp, survival, tibble, utils
Suggests: adabag, BART, bartMachine, C50, censored, cluster,
        doParallel, e1071, earth, elasticnet, generics, gbm, glmnet,
        gridExtra, Hmisc, kableExtra, kknn, knitr, lars, MASS, mboost,
        mda, ParBayesianOptimization, parsnip (>= 1.1.0), partykit,
        pls, pso, randomForest, randomForestSRC, ranger,
        rBayesianOptimization, rmarkdown, rms, rpart, testthat, tree,
        xgboost (>= 3.1.2)
Additional_repositories: https://brian-j-smith.github.io/drat
LazyData: true
License: GPL-3
URL: https://brian-j-smith.github.io/MachineShop/
BugReports: https://github.com/brian-j-smith/MachineShop/issues
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Encoding: UTF-8
Collate: 'classes.R' 'conditions.R' 'MachineShop-package.R'
        'MLControl.R' 'MLInput.R' 'MLMetric.R' 'MLModel.R'
        'MLOptimization.R' 'ML_AdaBagModel.R' 'ML_AdaBoostModel.R'
        'ML_BARTMachineModel.R' 'ML_BARTModel.R' 'ML_BlackBoostModel.R'
        'ML_C50Model.R' 'ML_CForestModel.R' 'ML_CoxModel.R'
        'ML_EarthModel.R' 'ML_FDAModel.R' 'ML_GAMBoostModel.R'
        'ML_GBMModel.R' 'ML_GLMBoostModel.R' 'ML_GLMModel.R'
        'ML_GLMNetModel.R' 'ML_KNNModel.R' 'ML_LARSModel.R'
        'ML_LDAModel.R' 'ML_LMModel.R' 'ML_MDAModel.R' 'ML_NNetModel.R'
        'ML_NaiveBayesModel.R' 'ML_ParsnipModel.R' 'ML_PLSModel.R'
        'ML_POLRModel.R' 'ML_QDAModel.R' 'ML_RFSRCModel.R'
        'ML_RPartModel.R' 'ML_RandomForestModel.R' 'ML_RangerModel.R'
        'ML_SVMModel.R' 'ML_StackedModel.R' 'ML_SuperModel.R'
        'ML_SurvRegModel.R' 'ML_TreeModel.R' 'ML_XGBModel.R'
        'ModelFrame.R' 'ModelRecipe.R' 'ModelSpecification.R'
        'TrainedInputs.R' 'TrainedModels.R' 'TrainingParams.R'
        'append.R' 'calibration.R' 'case_comps.R' 'coerce.R'
        'combine.R' 'confusion.R' 'convert.R' 'data.R' 'dependence.R'
        'diff.R' 'expand.R' 'extract.R' 'fit.R' 'grid.R' 'metricinfo.R'
        'metrics.R' 'metrics_factor.R' 'metrics_numeric.R'
        'modelinfo.R' 'models.R' 'performance.R' 'performance_curve.R'
        'plot.R' 'predict.R' 'print.R' 'recipe_roles.R' 'reexports.R'
        'resample.R' 'response.R' 'rfe.R' 'settings.R' 'step_kmeans.R'
        'step_kmedoids.R' 'step_lincomp.R' 'step_sbf.R' 'step_spca.R'
        'summary.R' 'survival.R' 'utils.R' 'varimp.R'
Config/pak/sysreqs: libicu-dev
Repository: https://brian-j-smith.r-universe.dev
Date/Publication: 2026-04-08 21:07:38 UTC
RemoteUrl: https://github.com/brian-j-smith/machineshop
RemoteRef: HEAD
RemoteSha: 92489c0bbf1e1609897f1d479c6f7d2c1d83577f
NeedsCompilation: yes
Packaged: 2026-06-07 06:55:38 UTC; root