caret (6.0-84)

10 users

Classification and Regression Training.

Misc functions for training and plotting classification and regression models.

Maintainer: Max Kuhn
Author(s): Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams, Chris Keefer, Allan Engelhardt, Tony Cooper, Zachary Mayer, Brenton Kenkel, the R Core Team, Michael Benesty, Reynald Lescarbeau, Andrew Ziem, Luca Scrucca, Yuan Tang, Can Candan, and Tyler Hunt.

License: GPL (>= 2)

Uses: foreach, ggplot2, lattice, ModelMetrics, nlme, plyr, recipes, reshape2, withr, e1071, earth, ellipse, fastICA, gam, ipred, kernlab, klaR, mda, mgcv, mlbench, pamr, party, pls, proxy, randomForest, rpart, subselect, superpc, spls, MASS, nnet, testthat, RANN, BradleyTerry2, pROC, Cubist, knitr, dplyr, MLmetrics
Reverse depends: adabag, AntAngiCool, AntAngioCOOL, AutoStepwiseGLM, caretLSF, caretNWS, conformal, dtree, forecast, fscaret, hsdar, JQL, KsPlot, LncFinder, MobileTrigger, RandPro, rocc, SQB, textmining
Reverse suggests: AppliedPredictiveModeling, aurelius, aVirtualTwins, biomod2, breakDown, broom, CBDA, Cubist, data.table, deepboost, dendroTools, discSurv, doParallel, doSNOW, emil, FastImputation, forestFloor, GAparsimony, gmum.r, GSIF, iBreakDown, idm, iml, imputeR, Infusion, iprior, kernDeepStackNet, lulcc, mlr, modelplotr, mopa, NeuralNetTools, olsrr, opera, ordinalClust, pdp, r2pmml, randomForestSRC, recipes, regsem, SemiSupervised, Seurat, sparsediscrim, spectacles, spFSR, ssc, strip, SuperLearner, uavRst, varrank, vip, xspliner
Reverse enhances: bestglm, prediction

Released 28 days ago.

97 previous versions



  4.4/5 (9 votes)


  4.4/5 (8 votes)

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Related packages: h2o, GAMBoost, rgenoud, varSelRF, e1071, earth, kernlab, klaR, party, ROCR, rpart, pls, randomForestSRC, Rborist, xgboost, ssgraph, BDgraph, tensorflow, BatchJobs, BatchExperiments(20 best matches, based on common tags.)

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