A fast implementation of Random Forests, particularly suited for high
dimensional data. Ensembles of classification, regression, survival and
probability prediction trees are supported. Data from genome-wide association
studies can be analyzed efficiently. In addition to data frames, datasets of
class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix')
can be directly analyzed.
| Reverse depends: |
causalweight, Iscores, metaforest, multimedia, OptHoldoutSize, optRF, PKLMtest, RfEmpImp, SPARRAfairness, SpatialML, tuneRanger |
| Reverse imports: |
abcrf, ADAPTS, alookr, AmpGram, AmyloGram, AnimalSequences, arf, Bodi, Boruta, C443, CancerGram, CaseBasedReasoning, ClassifyR, collinear, comets, CompositionalML, CornerstoneR, CoxAIPW, crossurr, ddecompose, ddml, discSurv, drpop, dsld, EFAfactors, enmSdmX, fairadapt, flevr, gapclosing, geomod, GRSxE, handwriterRF, hedgedrf, hpiR, htmldf, hypoRF, imanr, influential, Infusion, ipd, MDEI, memoria, meteo, miceRanger, missForestPredict, missRanger, mistyR, MLDataR, MLFS, mlmts, MSiP, multiclassPairs, MUVR2, ocf, OOBCurve, orf, OSTE, outForest, outqrf, phenomis, poolVIM, PrInCE, quantregRanger, radiant.model, randomForestExplainer, RaSEn, RCAS, REMP, rfinterval, RFlocalfdr, RFpredInterval, rfVarImpOOB, rfvimptest, riskRegression, rjaf, rmweather, RNAmodR.ML, RobustPrediction, roseRF, sambia, scDiagnostics, SCORPIUS, SEMdeep, seqimpute, simPop, SISIR, solitude, spatialRF, spFSR, spm, stablelearner, Statial, StratifiedMedicine, subscreen, synthpop, TangledFeatures, text2sdg, tramicp, TSCI, tsensembler, utsf, vaccine, VIM, VIMPS, worcs |
| Reverse suggests: |
arenar, autostats, batchtools, biotmle, breakDown, butcher, CALIBERrfimpute, CausalGPS, cdgd, confcons, corrgrapher, cpi, DALEX, DALEXtra, decoupleR, DirectEffects, dlookr, DoubleML, drifter, dynwrap, ENMTools, explainer, fairmodels, familiar, fastshap, finetune, flowml, fmeffects, forestControl, GenericML, HPiP, HPLB, ibawds, iBreakDown, iml, ingredients, innsight, knockoff, lime, lmtp, MachineShop, MantaID, mcboost, micd, mice, miesmuschel, mllrnrs, mlr, mlr3fairness, mlr3learners, mlr3mbo, mlr3pipelines, mlr3shiny, mlr3spatial, mlr3summary, mlr3superlearner, mlr3tuningspaces, mlr3viz, mlrCPO, mlrintermbo, mlsurvlrnrs, modelDown, modelStudio, nestedcv, nlpred, parsnip, pdp, PieGlyph, polle, purge, qeML, r2pmml, RobinCar, SAiVE, sense, shapr, sirus, sperrorest, spmodel, SSLR, stacks, SuperLearner, superMICE, superml, survex, text, tidyAML, tidypredict, tidysdm, topdownr, tree.interpreter, treeshap, triplot, txshift, varImp, vetiver, vimp, viraldomain, viralmodels, vivid, VSURF |
| Reverse enhances: |
vip |