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