Classification and regression based on a forest of trees
using random inputs.
| Reverse depends: |
AUCRF, bartMachine, BigTSP, D2C, interpretR, MAVTgsa, missForest, MixRF, mlDNA, ModelMap, partitionMap, quantregForest, regclass, RFgroove, RFinfer, rfPermute, roughrf, spikeslab, sprint, trimTrees, varSelRF |
| Reverse imports: |
abcrf, aCRM, aLFQ, bagRboostR, Biocomb, biomod2, CALIBERrfimpute, cem, CONDOP, conformal, CovSelHigh, ecospat, EFS, EnsembleBase, FSelector, fuzzyforest, gamclass, gencve, ggRandomForests, hybridEnsemble, imputeMissings, kernelFactory, LINselect, mlearning, NAM, nodeHarvest, NoiseFiltersR, nproc, optBiomarker, OTE, preprocomb, preproviz, pRF, randomForest.ddR, rasclass, REPTILE, RFmarkerDetector, rfUtilities, rminer, RPtests, RTextTools, SPOT, SSDM, statTarget, synthpop, TLBC, vita, VSURF, zoon |
| Reverse suggests: |
A3, BatchExperiments, BiodiversityR, boostr, Boruta, caret, caretEnsemble, ChemometricsWithR, COBRA, crtests, DAAG, DAAGxtras, Daim, discSurv, dismo, doMPI, dyn, e1071, emil, foreach, forestFloor, fscaret, GSIF, HSAUR, HSAUR2, HSAUR3, ICEbox, lulcc, mboost, mice, MLPUGS, mlr, ModelGood, pander, pedometrics, pmml, purge, rattle, RStoolbox, SPreFuGED, subsemble, SuperLearner, TDMR, tmle.npvi, TunePareto, unbalanced, utiml, VHDClassification, wsrf, yaImpute |