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e1071 (version 1.7-9)
Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Description
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 ...
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Install
install.packages('e1071')
Monthly Downloads
385,618
Version
1.7-9
License
GPL-2 | GPL-3
Maintainer
David Meyer
Last Published
September 16th, 2021
Functions in e1071 (1.7-9)
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cshell
Fuzzy C-Shell Clustering
gknn
Generalized k-Nearest Neighbors Classification or Regression
hamming.distance
Hamming Distances of Vectors
ica
Independent Component Analysis
e1071-deprecated
Deprecated Functions in Package e1071
hsv_palette
Sequential color palette based on HSV colors
impute
Replace Missing Values
interpolate
Interpolate Values of Array
element
Extract Elements of an Array
permutations
All Permutations of Integers 1:n
plot.stft
Plot Short Time Fourier Transforms
fclustIndex
Fuzzy Cluster Indexes (Validity/Performance Measures)
predict.svm
Predict Method for Support Vector Machines
matchControls
Find Matched Control Group
matchClasses
Find Similar Classes in Two-way Contingency Tables
probplot
Probability Plot
allShortestPaths
Find Shortest Paths Between All Nodes in a Directed Graph
scale_data_frame
Scaling and Centering of Data Frames
moment
Statistical Moment
hamming.window
Computes the Coefficients of a Hamming Window.
kurtosis
Kurtosis
rbridge
Simulation of Brownian Bridge
hanning.window
Computes the Coefficients of a Hanning Window.
naiveBayes
Naive Bayes Classifier
sigmoid
The Logistic Function and Derivatives
tune
Parameter Tuning of Functions Using Grid Search
tune.control
Control Parameters for the Tune Function
skewness
Skewness
plot.tune
Plot Tuning Object
stft
Computes the Short Time Fourier Transform of a Vector
plot.svm
Plot SVM Objects
read.matrix.csr
Read/Write Sparse Data
rwiener
Simulation of Wiener Process
write.svm
Write SVM Object to File
svm
Support Vector Machines
lca
Latent Class Analysis (LCA)
rectangle.window
Computes the Coefficients of a Rectangle Window.
tune.wrapper
Convenience Tuning Wrapper Functions
bootstrap.lca
Bootstrap Samples of LCA Results
Discrete
Discrete Distribution
boxplot.bclust
Boxplot of Cluster Profiles
classAgreement
Coefficients Comparing Classification Agreement
bclust
Bagged Clustering
bincombinations
Binary Combinations
cmeans
Fuzzy C-Means Clustering
countpattern
Count Binary Patterns