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e1071 (version 1.2-0)

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

Description

Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, ...

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Version

Install

install.packages('e1071')

Monthly Downloads

512,129

Version

1.2-0

License

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

Maintainer

Friedrich Leisch

Last Published

September 16th, 2024

Functions in e1071 (1.2-0)

Bagged Clustering

Predict method for Support Vector Machines

The Multivariate Normal Distribution

Extract Elements of an Array

Count Binary Patterns

Fuzzy Cluster Indexes (Validity/Performance Measures)

hamming.distance

Hamming Distances of Vectors

Replace Missing Values

Plot Short Time Fourier Transforms

Simulation of Wiener Process

Simulation of Brownian Bridge

Discrete Distribution

Interpolate Values of Array

Computes the Short Time Fourier Transform of a Vector

Boxplot of cluster profiles

Find similar classes in two-way contingency tables

Coefficients comparing classification agreement

Fuzzy Clustering using Scatter Matrices

Computes the Coefficients of a Hanning Window.

Statistical Moment

Independent Component Analysis

Latent Class Analysis (LCA)

Support Vector Machines

rectangle.window

Computes the Coefficients of a Rectangle Window.

Computes the Coefficients of a Hamming Window.

The logistic function and derivatives

All permutations of integers 1:n

bincombinations

Binary Combinations

Bootstrap Samples of LCA Results

Fuzzy C-Means Clustering

Internal e1071 functions

Fuzzy C-Shell Clustering

allShortestPaths

Find Shortest Paths Between All Nodes in a Directed Graph

Read Octave Data File