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e1071 (version 1.1-0)

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, ...

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Version

Install

install.packages('e1071')

Monthly Downloads

394,585

Version

1.1-0

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 (1.1-0)

Count Binary Patterns

Fuzzy C-Means Clustering

Statistical Moment

bincombinations

Binary Combinations

Computes the Coefficients of a Hamming Window.

Read Octave Data File

Simulation of Brownian Bridge

Replace Missing Values

All permutations of integers 1:n

The logistic function and derivatives

The Multivariate Normal Distribution

Support Vector Machines

hamming.distance

Hamming Distances of Vectors

Discrete Distribution

Interpolate Values of Array

Predict method for Support Vector Machines

rectangle.window

Computes the Coefficients of a Rectangle Window.

Coefficients comparing classification agreement

Simulation of Wiener Process

Plots an Object of Type stft.

Print Number and Sizes of Clusters

Fuzzy C-Shell Clustering

Fuzzy Clustering using Scatter Matrices

Plot Clustered Data

Computes the Short Time Fourier Transform of a Vector

Find similar classes in two-way contingency tables

Bootstrap Samples of LCA Results

Latent Class Analysis (LCA)

Portable Anymap Images

Extract Elements of an Array

Computes the Coefficients of a Hanning Window.

Independent Component Analysis