ranger: A Fast Implementation of Random Forests

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.

Version: 0.13.1
Depends: R (≥ 3.1)
Imports: Rcpp (≥ 0.11.2), Matrix
LinkingTo: Rcpp, RcppEigen
Suggests: covr, survival, testthat
Published: 2021-07-14
Author: Marvin N. Wright [aut, cre], Stefan Wager [ctb], Philipp Probst [ctb]
Maintainer: Marvin N. Wright <cran at wrig.de>
BugReports: https://github.com/imbs-hl/ranger/issues
License: GPL-3
URL: https://github.com/imbs-hl/ranger
NeedsCompilation: yes
Citation: ranger citation info
Materials: NEWS
In views: MachineLearning, Survival
CRAN checks: ranger results


Reference manual: ranger.pdf


Package source: ranger_0.13.1.tar.gz
Windows binaries: r-devel: ranger_0.13.1.zip, r-devel-UCRT: ranger_0.13.1.zip, r-release: ranger_0.13.1.zip, r-oldrel: ranger_0.13.1.zip
macOS binaries: r-release (arm64): ranger_0.13.1.tgz, r-release (x86_64): ranger_0.13.1.tgz, r-oldrel: ranger_0.13.1.tgz
Old sources: ranger archive

Reverse dependencies:

Reverse depends: causalweight, Iscores, metaforest, PKLMtest, RfEmpImp, tuneRanger
Reverse imports: abcrf, ADAPTS, alookr, AmpGram, AmyloGram, BioMM, Boruta, CancerGram, CausalGPS, CornerstoneR, decoupleR, drpop, dynfeature, fairadapt, finetune, gapclosing, genphen, GRPtests, healthcareai, hpiR, htmldf, hypoRF, influential, landmap, memoria, miceRanger, missRanger, mistyR, mlr3shiny, MSiP, multiclassPairs, OOBCurve, orf, outForest, poolVIM, PrInCE, quantregRanger, radiant.model, randomForestExplainer, RaSEn, RCAS, REMP, rfinterval, RFpredInterval, riskRegression, rmweather, RNAmodR.ML, sambia, SCORPIUS, simPop, soilassessment, solitude, spatialRF, spm, spm2, SPOT, stablelearner, StratifiedMedicine, synthpop, tbma, tsensembler, VIM, VSURF, worcs
Reverse suggests: arenar, batchtools, biotmle, breakDown, butcher, cattonum, corrgrapher, DALEX, DoubleML, drifter, DriveML, dynwrap, ENMTools, fairmodels, fastshap, flashlight, forestControl, HPiP, HPLB, iBreakDown, iml, Infusion, ingredients, IPMRF, knockoff, lime, lmtp, MachineShop, mcboost, microbiomeMarker, mlr, mlr3learners, mlr3tuningspaces, mlr3viz, mlrCPO, mlrintermbo, modelDown, modelplotr, modelStudio, nlpred, parsnip, pdp, piRF, purge, r2pmml, sense, shapr, sperrorest, splitTools, SSLR, stacks, SuperLearner, superml, text, tidypredict, topdownr, tree.interpreter, triplot, txshift, varImp, vimp, vip, vivid


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