Package: e1071 1.7-17

David Meyer

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, generalized k-nearest neighbour ...

Authors:David Meyer [aut, cre], Evgenia Dimitriadou [aut, cph], Kurt Hornik [aut], Andreas Weingessel [aut], Friedrich Leisch [aut], Chih-Chung Chang [ctb, cph], Chih-Chen Lin [ctb, cph]

e1071_1.7-17.tar.gz
e1071_1.7-17.tar.gz(r-4.7-arm64)e1071_1.7-17.tar.gz(r-4.7-x86_64)e1071_1.7-17.tar.gz(r-4.6-arm64)e1071_1.7-17.tar.gz(r-4.6-x86_64)
e1071_1.7-17.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
e1071/json (API)

# Install 'e1071' in R:
install.packages('e1071', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

14.79 score 29 stars 2.3k packages 37k scripts 406k downloads 419 mentions 62 exports 3 dependencies

Last updated from:2683c8af70. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK339
linux-devel-x86_64OK277
source / vignettesOK376
linux-release-arm64OK343
linux-release-x86_64OK285
wasm-releaseOK96

Exports:allShortestPathsbclustbest.gknnbest.nnetbest.randomForestbest.rpartbest.svmbest.tunebincombinationsbootstrap.lcacenters.bclustclassAgreementclusters.bclustcmeanscompareMatchedClassescountpatterncshelld2sigmoidddiscretedsigmoidelementextractPathfclustIndexgknnhamming.distancehamming.windowhanning.windowhclust.bclusthsv_paletteicaimputeinterpolatekurtosislcamatchClassesmatchControlsmomentnaiveBayespdiscretepermutationsprobplotqdiscreterbridgerdiscreteread.matrix.csrrectangle.windowrwienerscale_data_framesigmoidskewnessstftsvmtunetune.controltune.gknntune.knntune.nnettune.randomForesttune.rparttune.svmwrite.matrix.csrwrite.svm

Dependencies:classMASSproxy

Support Vector Machines---the Interface to libsvm in package e1071
Rendered fromsvmdoc.Rnwusingutils::Sweave

Last update: 2025-12-18
Started: 2014-01-10

svm() internals
Binary Classifier | Multiclass-classifier
Rendered fromsvminternals.Rnwusingutils::Sweave

Last update: 2025-12-18
Started: 2014-01-10

Readme and manuals

Help Manual

Help pageTopics
Find Shortest Paths Between All Nodes in a Directed GraphallShortestPaths extractPath
Bagged Clusteringbclust centers.bclust clusters.bclust hclust.bclust plot.bclust
Binary Combinationsbincombinations
Bootstrap Samples of LCA Resultsbootstrap.lca print.bootstrap.lca
Boxplot of Cluster Profilesboxplot.bclust
Coefficients Comparing Classification AgreementclassAgreement
Fuzzy C-Means Clusteringcmeans print.fclust
Count Binary Patternscountpattern
Fuzzy C-Shell Clusteringcshell
Discrete Distributionddiscrete pdiscrete qdiscrete rdiscrete
Deprecated Functions in Package e1071e1071-deprecated
Extract Elements of an Arrayelement
Fuzzy Cluster Indexes (Validity/Performance Measures)fclustIndex
Generalized k-Nearest Neighbors Classification or Regressiongknn gknn.default gknn.formula predict.gknn print.gknn
Hamming Distances of Vectorshamming.distance
Computes the Coefficients of a Hamming Window.hamming.window
Computes the Coefficients of a Hanning Window.hanning.window
Sequential color palette based on HSV colorshsv_palette
Independent Component Analysisica plot.ica print.ica
Replace Missing Valuesimpute
Interpolate Values of Arrayinterpolate
Kurtosiskurtosis
Latent Class Analysis (LCA)lca predict.lca print.lca print.summary.lca summary.lca
Find Similar Classes in Two-way Contingency TablescompareMatchedClasses matchClasses
Find Matched Control GroupmatchControls
Statistical Momentmoment
Naive Bayes ClassifiernaiveBayes naiveBayes.default naiveBayes.formula predict.naiveBayes print.naiveBayes
All Permutations of Integers 1:npermutations
Plot Short Time Fourier Transformsplot.stft
Plot SVM Objectsplot.svm
Plot Tuning Objectplot.tune
Predict Method for Support Vector Machinespredict.svm
Probability Plotlines.probplot probplot
Simulation of Brownian Bridgerbridge
Read/Write Sparse Dataread.matrix.csr write.matrix.csr
Computes the Coefficients of a Rectangle Window.rectangle.window
Simulation of Wiener Processrwiener
Scaling and Centering of Data Framesscale_data_frame
The Logistic Function and Derivativesd2sigmoid dsigmoid sigmoid
Skewnessskewness
Computes the Short Time Fourier Transform of a Vectorstft
Support Vector Machinescoef.svm print.summary.svm print.svm summary.svm svm svm.default svm.formula
Parameter Tuning of Functions Using Grid Searchbest.tune print.summary.tune print.tune summary.tune tune
Control Parameters for the Tune Functiontune.control
Convenience Tuning Wrapper Functionsbest.gknn best.nnet best.randomForest best.rpart best.svm tune.gknn tune.knn tune.nnet tune.randomForest tune.rpart tune.svm tune.wrapper
Write SVM Object to Filewrite.svm