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e1071 (version 1.3-9)

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

457,319

Version

1.3-9

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 (1.3-9)

Discrete Distribution

bincombinations

Binary Combinations

Plot tuning object

rectangle.window

Computes the Coefficients of a Rectangle Window.

Find similar classes in two-way contingency tables

Coefficients comparing classification agreement

Convenience tuning functions

Bootstrap Samples of LCA Results

Predict method for Support Vector Machines

Bagged Clustering

Internal e1071 functions

Statistical Moment

Support Vector Machines

Simulation of Brownian Bridge

All permutations of integers 1:n

Replace Missing Values

Computes the Coefficients of a Hanning Window.

read.matrix.csr

read/write sparse data

Fuzzy Clustering using Scatter Matrices

Interpolate Values of Array

allShortestPaths

Find Shortest Paths Between All Nodes in a Directed Graph

Plot svm objects

Fuzzy C-Means Clustering

Fuzzy Cluster Indexes (Validity/Performance Measures)

Plot Short Time Fourier Transforms

Fuzzy C-Shell Clustering

Latent Class Analysis (LCA)

Independent Component Analysis

Count Binary Patterns

Computes the Coefficients of a Hamming Window.

Parameter tuning of fuctions using grid search

hamming.distance

Hamming Distances of Vectors

Boxplot of cluster profiles

Read Octave Data File

The logistic function and derivatives

Extract Elements of an Array

Simulation of Wiener Process

Computes the Short Time Fourier Transform of a Vector