Function reference • e1071

All functions
`ddiscrete()` `pdiscrete()` `qdiscrete()` `rdiscrete()`	Discrete Distribution
`bclust()` `hclust.bclust()` `plot(<bclust>)` `centers.bclust()` `clusters.bclust()`	Bagged Clustering
`bincombinations()`	Binary Combinations
`bootstrap.lca()`	Bootstrap Samples of LCA Results
`boxplot(<bclust>)`	Boxplot of Cluster Profiles
`classAgreement()`	Coefficients Comparing Classification Agreement
`cmeans()`	Fuzzy C-Means Clustering
`countpattern()`	Count Binary Patterns
`cshell()`	Fuzzy C-Shell Clustering
`e1071-deprecated`	Deprecated Functions in Package e1071
`element()`	Extract Elements of an Array
`fclustIndex()`	Fuzzy Cluster Indexes (Validity/Performance Measures)
`hamming.distance()`	Hamming Distances of Vectors
`hamming.window()`	Computes the Coefficients of a Hamming Window.
`hanning.window()`	Computes the Coefficients of a Hanning Window.
`hsv_palette()`	Sequential color palette based on HSV colors
`ica()`	Independent Component Analysis
`impute()`	Replace Missing Values
`interpolate()`	Interpolate Values of Array
`kurtosis()`	Kurtosis
`lca()`	Latent Class Analysis (LCA)
`matchClasses()` `compareMatchedClasses()`	Find Similar Classes in Two-way Contingency Tables
`matchControls()`	Find Matched Control Group
`moment()`	Statistical Moment
`naiveBayes(<formula>)` `naiveBayes(<default>)` `predict(<naiveBayes>)`	Naive Bayes Classifier
`permutations()`	All Permutations of Integers 1:n
`plot(<stft>)`	Plot Short Time Fourier Transforms
`plot(<svm>)`	Plot SVM Objects
`plot(<tune>)`	Plot Tuning Object
`predict(<svm>)`	Predict Method for Support Vector Machines
`probplot()` `lines(<probplot>)`	Probability Plot
`rbridge()`	Simulation of Brownian Bridge
`read.matrix.csr()` `write.matrix.csr()`	Read/Write Sparse Data
`rectangle.window()`	Computes the Coefficients of a Rectangle Window.
`rwiener()`	Simulation of Wiener Process
`allShortestPaths()` `extractPath()`	Find Shortest Paths Between All Nodes in a Directed Graph
`sigmoid()` `dsigmoid()` `d2sigmoid()`	The Logistic Function and Derivatives
`skewness()`	Skewness
`stft()`	Computes the Short Time Fourier Transform of a Vector
`svm(<formula>)` `svm(<default>)`	Support Vector Machines
`tune()` `best.tune()`	Parameter Tuning of Functions Using Grid Search
`tune.control()`	Control Parameters for the Tune Function
`tune.svm()` `best.svm()` `tune.nnet()` `best.nnet()` `tune.rpart()` `best.rpart()` `tune.randomForest()` `best.randomForest()` `tune.knn()`	Convenience Tuning Wrapper Functions
`write.svm()`	Write SVM Object to File

Reference

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