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e1071 (version 1.1-2)

Misc Functions of the Department of Statistics (e1071), TU Wien

Description

Functions for latent class analysis, reading/writing of images in pnm format, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, ...

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Version

Install

install.packages('e1071')

Monthly Downloads

539,706

Version

1.1-2

License

GPL version 2 or newer. See COPYRIGHT.svm.cpp for the copyright of the svm C++ code.

Maintainer

Friedrich Leisch

Last Published

September 16th, 2024

Functions in e1071 (1.1-2)

cshell

Fuzzy C-Shell Clustering
bootstrap.lca

Bootstrap Samples of LCA Results
Mvnorm

The Multivariate Normal Distribution
Discrete

Discrete Distribution
hanning.window

Computes the Coefficients of a Hanning Window.
classAgreement

Coefficients comparing classification agreement
ica

Independent Component Analysis
interpolate

Interpolate Values of Array
countpattern

Count Binary Patterns
impute

Replace Missing Values
cmeanscl

Fuzzy C-Means Clustering
bincombinations

Binary Combinations
element

Extract Elements of an Array
kurtosis

Kurtosis
svm

Support Vector Machines
scaclust

Fuzzy Clustering using Scatter Matrices
moment

Statistical Moment
plot.stft

Plots an Object of Type stft.
sigmoid

The logistic function and derivatives
stft

Computes the Short Time Fourier Transform of a Vector
skewness

Skewness
permutations

All permutations of integers 1:n
print.fclust

Print Number and Sizes of Clusters
rwiener

Simulation of Wiener Process
lca

Latent Class Analysis (LCA)
validity.measures

Validity Measures
pnm

Portable Anymap Images
predict.svm

Predict method for Support Vector Machines
read.octave

Read Octave Data File
rectangle.window

Computes the Coefficients of a Rectangle Window.
rbridge

Simulation of Brownian Bridge
allShortestPaths

Find Shortest Paths Between All Nodes in a Directed Graph
plot.fclust

Plot Clustered Data
hamming.window

Computes the Coefficients of a Hamming Window.
hamming.distance

Hamming Distances of Vectors
matchClasses

Find similar classes in two-way contingency tables