e1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien

Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, ...

Version: 1.7-2
Imports: graphics, grDevices, class, stats, methods, utils
Suggests: cluster, mlbench, nnet, randomForest, rpart, SparseM, xtable, Matrix, MASS, slam
Published: 2019-06-05
Author: David Meyer [aut, cre], Evgenia Dimitriadou [aut, cph], Kurt Hornik [aut], Andreas Weingessel [aut], Friedrich Leisch [aut], Chih-Chung Chang [ctb, cph] (libsvm C++-code), Chih-Chen Lin [ctb, cph] (libsvm C++-code)
Maintainer: David Meyer <David.Meyer at R-project.org>
License: GPL-2 | GPL-3
NeedsCompilation: yes
Materials: NEWS
In views: Cluster, Distributions, Environmetrics, MachineLearning, Multivariate, Psychometrics
CRAN checks: e1071 results

Downloads:

Reference manual: e1071.pdf
Vignettes: Support Vector Machines—the Interface to libsvm in package e1071
svm() internals
Package source: e1071_1.7-2.tar.gz
Windows binaries: r-devel: e1071_1.7-2.zip, r-release: e1071_1.7-2.zip, r-oldrel: e1071_1.7-2.zip
OS X binaries: r-release: e1071_1.7-2.tgz, r-oldrel: e1071_1.7-2.tgz
Old sources: e1071 archive

Reverse dependencies:

Reverse depends: BayesLCA, bios2mds, ClueR, dad, GameTheoryAllocation, gskat, Inventorymodel, MAclinical, malani, mlDNA, obliqueRF, parallelSVM, PASWR, penalizedSVM, RMediation, robCompositions, spartan, tiger, VHDClassification
Reverse imports: ADAPTS, AdaSampling, assignPOP, autoBagging, bindata, Biocomb, blkbox, blorr, BLRShiny, BSDA, chemmodlab, chemometrics, classInt, clusterfly, clusterSim, cocoreg, CTShiny, Deducer, diceR, dpcR, DrugClust, DTWBI, DTWUMI, easyalluvial, ebmc, ECoL, EnsembleBase, expose, exprso, EZtune, FFTrees, fitur, flip, galgo, gencve, gld, GMDH2, hda, healthcareai, hybridEnsemble, hydroTSM, hypervolume, IntClust, Irescale, KCSNBShiny, KNNShiny, lfl, liayson, lilikoi, LilRhino, live, LncFinder, LOST, m2b, manymodelr, mcca, MEclustnet, MetabolomicsBasics, MetaLandSim, mfe, MIAmaxent, mispr, mistral, MixGHD, MlBayesOpt, MLDAShiny, mlearning, MNLR, Modeler, mopa, NBShiny, nlcv, nlnet, NoiseFiltersR, nonet, NonProbEst, NormalizeMets, nproc, optBiomarker, OptimClassifier, osmplotr, PASWR2, predictoR, predkmeans, PredPsych, preprocomb, preprosim, quantable, radiant.model, RandPro, rasclass, RcmdrMisc, RecordLinkage, regressoR, rminer, RMKL, RTransProb, sambia, scorecardModelUtils, sdcMicro, simPop, SixSigma, SPUTNIK, SSDM, sssc, stablelearner, StatDA, stylo, SwarmSVM, symbolicDA, tableone, TPMplt, TTAinterfaceTrendAnalysis, vanquish, VFS, VIM, xseq
Reverse suggests: A3, auditor, aurelius, aVirtualTwins, batchtools, BiodiversityR, boostr, breakDown, broom, c2c, caret, caretEnsemble, catdata, CBDA, ceterisParibus, ChemometricsWithR, classifly, clue, coin, crtests, cvms, ensembleR, ExplainPrediction, FastImputation, FinTS, flacco, FLAME, forestFloor, frbs, FRESA.CAD, fromo, fscaret, GAparsimony, GROAN, iBreakDown, iml, klaR, languageR, MachineShop, mistat, MLmetrics, mlr, mlrCPO, modelplotr, opalr, partools, pdp, performanceEstimation, PMCMRplus, pmml, pvar, quanteda, r2pmml, rattle, Rcmdr, RcmdrPlugin.IPSUR, RcmdrPlugin.NMBU, rsMove, RStoolbox, RWeka, sentometrics, shipunov, simglm, SparkR, SPreFuGED, ssc, strip, strucchange, SuperLearner, superml, TDMR, tmle.npvi, TunePareto, UBL, utiml, varrank, xspliner
Reverse enhances: prediction

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