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: 1.6-8
Imports: graphics, grDevices, class, stats, methods, utils
Suggests: cluster, mlbench, nnet, randomForest, rpart, SparseM, xtable, Matrix, MASS
Published: 2017-02-02
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
NeedsCompilation: yes
Materials: NEWS
In views: Cluster, Distributions, Environmetrics, MachineLearning, Multivariate, Psychometrics
CRAN checks: e1071 results


Reference manual: e1071.pdf
Vignettes: Support Vector Machines—the Interface to libsvm in package e1071
svm() internals
Package source: e1071_1.6-8.tar.gz
Windows binaries: r-devel: e1071_1.6-8.zip, r-release: e1071_1.6-8.zip, r-oldrel: e1071_1.6-8.zip
OS X binaries: r-release: e1071_1.6-8.tgz, r-oldrel: e1071_1.6-8.tgz
Old sources: e1071 archive

Reverse dependencies:

Reverse depends: BayesLCA, bios2mds, classyfire, ClueR, dad, flip, GameTheoryAllocation, gskat, Inventorymodel, LncFinder, MAclinical, malani, mlDNA, obliqueRF, parallelSVM, PASWR, penalizedSVM, RMediation, robCompositions, spartan, tiger, VHDClassification
Reverse imports: assignPOP, autoBagging, bindata, Biocomb, blkbox, blorr, BoutrosLab.plotting.general, BSDA, cati, chemmodlab, chemometrics, classInt, clusterfly, clusterSim, cocoreg, Deducer, diceR, dpcR, dprep, DrugClust, ebmc, ECoL, EnsembleBase, exprso, FFTrees, fitur, fungible, gencve, gld, GMDH2, hda, healthcareai, hybridEnsemble, hydroTSM, hypervolume, IntClust, lfl, LOST, m2b, mcca, MEclustnet, MetabolomicsBasics, MetaLandSim, mfe, MIAmaxent, mispr, mistral, MixGHD, MlBayesOpt, mlearning, Modeler, mopa, msr, nlcv, nlnet, NoiseFiltersR, NormalizeMets, nproc, optBiomarker, OptimClassifier, osmplotr, PASWR2, predkmeans, PredPsych, preprocomb, preprosim, quantable, radiant.model, RandPro, rasclass, RcmdrMisc, RecordLinkage, REndo, rminer, RObsDat, RTextTools, RTransProb, scorecardModelUtils, sdcMicro, simPop, SixSigma, SSDM, SSL, StatDA, stylo, SwarmSVM, symbolicDA, tableone, translateSPSS2R, TTAinterfaceTrendAnalysis, VIM, xseq
Reverse suggests: A3, aurelius, aVirtualTwins, batchtools, benchmark, BiodiversityR, boostr, breakDown, c2c, caret, caretEnsemble, catdata, CBDA, ChemometricsWithR, classifly, clue, coin, crtests, Daim, emil, ensembleR, ExplainPrediction, FastImputation, flacco, forestFloor, frbs, FRESA.CAD, fscaret, GAparsimony, GROAN, iml, klaR, languageR, live, mistat, MLmetrics, mlr, mlrCPO, partools, pdp, performanceEstimation, PMCMRplus, pmml, rattle, Rcmdr, RcmdrPlugin.IPSUR, RcmdrPlugin.NMBU, ripa, RStoolbox, RWeka, SemiSupervised, sentometrics, simglm, soil.spec, spaMM, SPreFuGED, ssc, strip, strucchange, subsemble, SuperLearner, TDMR, tmle.npvi, TunePareto, UBL, utiml, varrank
Reverse enhances: prediction


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