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 |