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e1071 (version 1.7-6)

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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Version

Install

install.packages('e1071')

Monthly Downloads

489,717

Version

1.7-6

License

GPL-2 | GPL-3

Maintainer

David Meyer

Last Published

March 18th, 2021

Functions in e1071 (1.7-6)

Discrete

Discrete Distribution
cshell

Fuzzy C-Shell Clustering
bincombinations

Binary Combinations
boxplot.bclust

Boxplot of Cluster Profiles
e1071-deprecated

Deprecated Functions in Package e1071
bootstrap.lca

Bootstrap Samples of LCA Results
bclust

Bagged Clustering
element

Extract Elements of an Array
cmeans

Fuzzy C-Means Clustering
countpattern

Count Binary Patterns
gknn

Generalized k-Nearest Neighbors Classification or Regression
hamming.distance

Hamming Distances of Vectors
rwiener

Simulation of Wiener Process
rectangle.window

Computes the Coefficients of a Rectangle Window.
moment

Statistical Moment
hamming.window

Computes the Coefficients of a Hamming Window.
hanning.window

Computes the Coefficients of a Hanning Window.
kurtosis

Kurtosis
impute

Replace Missing Values
plot.tune

Plot Tuning Object
interpolate

Interpolate Values of Array
ica

Independent Component Analysis
fclustIndex

Fuzzy Cluster Indexes (Validity/Performance Measures)
hsv_palette

Sequential color palette based on HSV colors
rbridge

Simulation of Brownian Bridge
classAgreement

Coefficients Comparing Classification Agreement
lca

Latent Class Analysis (LCA)
scale_data_frame

Scaling and Centering of Data Frames
tune.wrapper

Convenience Tuning Wrapper Functions
allShortestPaths

Find Shortest Paths Between All Nodes in a Directed Graph
naiveBayes

Naive Bayes Classifier
stft

Computes the Short Time Fourier Transform of a Vector
probplot

Probability Plot
predict.svm

Predict Method for Support Vector Machines
write.svm

Write SVM Object to File
svm

Support Vector Machines
matchClasses

Find Similar Classes in Two-way Contingency Tables
sigmoid

The Logistic Function and Derivatives
matchControls

Find Matched Control Group
skewness

Skewness
permutations

All Permutations of Integers 1:n
tune

Parameter Tuning of Functions Using Grid Search
tune.control

Control Parameters for the Tune Function
plot.svm

Plot SVM Objects
plot.stft

Plot Short Time Fourier Transforms
read.matrix.csr

Read/Write Sparse Data