Package: mlr
Title: Machine Learning in R
Version: 2.18.0
Authors@R:
    c(person(given = "Bernd",
             family = "Bischl",
             role = "aut",
             email = "bernd_bischl@gmx.net",
             comment = c(ORCID = "0000-0001-6002-6980")),
      person(given = "Michel",
             family = "Lang",
             role = "aut",
             email = "michellang@gmail.com",
             comment = c(ORCID = "0000-0001-9754-0393")),
      person(given = "Lars",
             family = "Kotthoff",
             role = "aut",
             email = "larsko@uwyo.edu"),
      person(given = "Patrick",
             family = "Schratz",
             role = c("aut", "cre"),
             email = "patrick.schratz@gmail.com",
             comment = c(ORCID = "0000-0003-0748-6624")),
      person(given = "Julia",
             family = "Schiffner",
             role = "aut",
             email = "schiffner@math.uni-duesseldorf.de"),
      person(given = "Jakob",
             family = "Richter",
             role = "aut",
             email = "code@jakob-r.de"),
      person(given = "Zachary",
             family = "Jones",
             role = "aut",
             email = "zmj@zmjones.com"),
      person(given = "Giuseppe",
             family = "Casalicchio",
             role = "aut",
             email = "giuseppe.casalicchio@stat.uni-muenchen.de",
             comment = c(ORCID = "0000-0001-5324-5966")),
      person(given = "Mason",
             family = "Gallo",
             role = "aut",
             email = "masonagallo@gmail.com"),
      person(given = "Jakob",
             family = "Bossek",
             role = "ctb",
             email = "jakob.bossek@tu-dortmund.de",
             comment = c(ORCID = "0000-0002-4121-4668")),
      person(given = "Erich",
             family = "Studerus",
             role = "ctb",
             email = "erich.studerus@upkbs.ch",
             comment = c(ORCID = "0000-0003-4233-0182")),
      person(given = "Leonard",
             family = "Judt",
             role = "ctb",
             email = "leonard.judt@tu-dortmund.de"),
      person(given = "Tobias",
             family = "Kuehn",
             role = "ctb",
             email = "tobi.kuehn@gmx.de"),
      person(given = "Pascal",
             family = "Kerschke",
             role = "ctb",
             email = "kerschke@uni-muenster.de",
             comment = c(ORCID = "0000-0003-2862-1418")),
      person(given = "Florian",
             family = "Fendt",
             role = "ctb",
             email = "flo_fendt@gmx.de"),
      person(given = "Philipp",
             family = "Probst",
             role = "ctb",
             email = "philipp_probst@gmx.de",
             comment = c(ORCID = "0000-0001-8402-6790")),
      person(given = "Xudong",
             family = "Sun",
             role = "ctb",
             email = "xudong.sun@stat.uni-muenchen.de",
             comment = c(ORCID = "0000-0003-3269-2307")),
      person(given = "Janek",
             family = "Thomas",
             role = "ctb",
             email = "janek.thomas@stat.uni-muenchen.de",
             comment = c(ORCID = "0000-0003-4511-6245")),
      person(given = "Bruno",
             family = "Vieira",
             role = "ctb",
             email = "bruno.hebling.vieira@usp.br"),
      person(given = "Laura",
             family = "Beggel",
             role = "ctb",
             email = "laura.beggel@web.de",
             comment = c(ORCID = "0000-0002-8872-8535")),
      person(given = "Quay",
             family = "Au",
             role = "ctb",
             email = "quay.au@stat.uni-muenchen.de",
             comment = c(ORCID = "0000-0002-5252-8902")),
      person(given = "Martin",
             family = "Binder",
             role = "ctb",
             email = "ma.binder@campus.lmu.de"),
      person(given = "Florian",
             family = "Pfisterer",
             role = "ctb",
             email = "pfistererf@googlemail.com"),
      person(given = "Stefan",
             family = "Coors",
             role = "ctb",
             email = "stefan.coors@gmx.net"),
      person(given = "Steve",
             family = "Bronder",
             role = "ctb",
             email = "sab2287@columbia.edu"),
      person(given = "Alexander",
             family = "Engelhardt",
             role = "ctb",
             email = "alexander.w.engelhardt@gmail.com"),
      person(given = "Christoph",
             family = "Molnar",
             role = "ctb",
             email = "christoph.molnar@stat.uni-muenchen.de"),
      person(given = "Annette",
             family = "Spooner",
             role = "ctb",
             email = "a.spooner@unsw.edu.au"))
Description: Interface to a large number of classification and
    regression techniques, including machine-readable parameter
    descriptions. There is also an experimental extension for survival
    analysis, clustering and general, example-specific cost-sensitive
    learning. Generic resampling, including cross-validation,
    bootstrapping and subsampling.  Hyperparameter tuning with modern
    optimization techniques, for single- and multi-objective problems.
    Filter and wrapper methods for feature selection. Extension of basic
    learners with additional operations common in machine learning, also
    allowing for easy nested resampling.  Most operations can be
    parallelized.
License: BSD_2_clause + file LICENSE
URL: https://mlr.mlr-org.com, https://github.com/mlr-org/mlr
BugReports: https://github.com/mlr-org/mlr/issues
Depends:
    ParamHelpers (>= 1.10),
    R (>= 3.0.2)
Imports:
    backports (>= 1.1.0),
    BBmisc (>= 1.11),
    checkmate (>= 1.8.2),
    data.table (>= 1.12.4),
    ggplot2,
    methods,
    parallelMap (>= 1.3),
    stats,
    stringi,
    survival,
    utils,
    XML
Suggests:
    ada,
    adabag,
    bartMachine,
    batchtools,
    brnn,
    bst,
    C50,
    care,
    caret (>= 6.0-57),
    class,
    clue,
    cluster,
    ClusterR,
    clusterSim (>= 0.44-5),
    cmaes,
    cowplot,
    CoxBoost,
    crs,
    Cubist,
    deepnet,
    DiceKriging,
    DiscriMiner,
    e1071,
    earth,
    elasticnet,
    emoa,
    evtree,
    extraTrees,
    fda.usc,
    FDboost,
    FNN,
    forecast (>= 8.3),
    fpc,
    frbs,
    FSelector,
    FSelectorRcpp (>= 0.2.1),
    gbm,
    GenSA,
    ggpubr,
    glmnet,
    GPfit,
    h2o (>= 3.6.0.8),
    Hmisc,
    irace (>= 2.0),
    kernlab,
    kknn,
    klaR,
    knitr,
    laGP,
    LiblineaR,
    lintr (>= 1.0.0.9001),
    MASS,
    mboost,
    mco,
    mda,
    memoise,
    mlbench,
    mldr,
    mlrMBO,
    mmpf,
    modeltools,
    mRMRe,
    neuralnet,
    nnet,
    nodeHarvest (>= 0.7-3),
    numDeriv,
    pamr,
    pander,
    party,
    penalized (>= 0.9-47),
    pls,
    PMCMR (>= 4.1),
    praznik (>= 5.0.0),
    randomForest,
    randomForestSRC (>= 2.7.0),
    ranger (>= 0.8.0),
    rappdirs,
    refund,
    rex,
    rFerns,
    rgenoud,
    rknn,
    rmarkdown,
    ROCR,
    rotationForest,
    rpart,
    RRF,
    rrlda,
    rsm,
    RSNNS,
    rucrdtw,
    RWeka,
    sda,
    sf,
    smoof,
    sparseLDA,
    stepPlr,
    survAUC,
    svglite,
    SwarmSVM,
    testthat,
    tgp,
    TH.data,
    tidyr,
    tsfeatures,
    vdiffr,
    wavelets,
    xgboost (>= 0.7)
VignetteBuilder:
    knitr
ByteCompile: yes
Encoding: UTF-8
LazyData: yes
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
SystemRequirements: gdal (optional), geos (optional), proj (optional),
    udunits (optional), gsl (optional), gmp (optional), glu (optional),
    jags (optional)
