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