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e1071 (version 1.7-3)

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, ...

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Version

Install

install.packages('e1071')

Monthly Downloads

489,717

Version

1.7-3

License

GPL-2 | GPL-3

Maintainer

Last Published

November 26th, 2019

Functions in e1071 (1.7-3)

hanning.window

Computes the Coefficients of a Hanning Window.
ica

Independent Component Analysis
plot.tune

Plot Tuning Object
read.matrix.csr

Read/Write Sparse Data
rectangle.window

Computes the Coefficients of a Rectangle Window.
kurtosis

Kurtosis
predict.svm

Predict Method for Support Vector Machines
interpolate

Interpolate Values of Array
Discrete

Discrete Distribution
hsv_palette

Sequential color palette based on HSV colors
moment

Statistical Moment
impute

Replace Missing Values
permutations

All Permutations of Integers 1:n
tune

Parameter Tuning of Functions Using Grid Search
naiveBayes

Naive Bayes Classifier
matchControls

Find Matched Control Group
rwiener

Simulation of Wiener Process
hamming.distance

Hamming Distances of Vectors
write.svm

Write SVM Object to File
element

Extract Elements of an Array
allShortestPaths

Find Shortest Paths Between All Nodes in a Directed Graph
hamming.window

Computes the Coefficients of a Hamming Window.
svm

Support Vector Machines
stft

Computes the Short Time Fourier Transform of a Vector
tune.control

Control Parameters for the Tune Function
lca

Latent Class Analysis (LCA)
probplot

Probability Plot
fclustIndex

Fuzzy Cluster Indexes (Validity/Performance Measures)
matchClasses

Find Similar Classes in Two-way Contingency Tables
plot.stft

Plot Short Time Fourier Transforms
sigmoid

The Logistic Function and Derivatives
rbridge

Simulation of Brownian Bridge
plot.svm

Plot SVM Objects
tune.wrapper

Convenience Tuning Wrapper Functions
skewness

Skewness
bincombinations

Binary Combinations
bootstrap.lca

Bootstrap Samples of LCA Results
boxplot.bclust

Boxplot of Cluster Profiles
classAgreement

Coefficients Comparing Classification Agreement
cmeans

Fuzzy C-Means Clustering
countpattern

Count Binary Patterns
cshell

Fuzzy C-Shell Clustering
e1071-deprecated

Deprecated Functions in Package e1071
bclust

Bagged Clustering