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e1071 (version 1.3-10)

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

1.3-10

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 (1.3-10)

Replace Missing Values

Extract Elements of an Array

Predict method for Support Vector Machines

Statistical Moment

read.matrix.csr

read/write sparse data

Read Octave Data File

Computes the Coefficients of a Hamming Window.

Latent Class Analysis (LCA)

Bagged Clustering

Plot tuning object

Interpolate Values of Array

Fuzzy Cluster Indexes (Validity/Performance Measures)

Simulation of Wiener Process

Count Binary Patterns

Computes the Short Time Fourier Transform of a Vector

Support Vector Machines

Fuzzy C-Shell Clustering

Boxplot of cluster profiles

allShortestPaths

Find Shortest Paths Between All Nodes in a Directed Graph

Independent Component Analysis

The logistic function and derivatives

Plot svm objects

Convenience tuning functions

Coefficients comparing classification agreement

Fuzzy Clustering using Scatter Matrices

Fuzzy C-Means Clustering

Plot Short Time Fourier Transforms

Parameter tuning of fuctions using grid search

Discrete Distribution

Find similar classes in two-way contingency tables

Simulation of Brownian Bridge

All permutations of integers 1:n

Computes the Coefficients of a Hanning Window.

hamming.distance

Hamming Distances of Vectors

Bootstrap Samples of LCA Results

Internal e1071 functions

rectangle.window

Computes the Coefficients of a Rectangle Window.

bincombinations

Binary Combinations