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e1071 (version 1.7-12)

Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien

Description

Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, generalized k-nearest neighbour ...

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Version

Install

install.packages('e1071')

Monthly Downloads

373,567

Version

1.7-12

License

GPL-2 | GPL-3

Maintainer

David Meyer

Last Published

October 24th, 2022

Functions in e1071 (1.7-12)

interpolate

Interpolate Values of Array
hamming.distance

Hamming Distances of Vectors
hanning.window

Computes the Coefficients of a Hanning Window.
impute

Replace Missing Values
hsv_palette

Sequential color palette based on HSV colors
hamming.window

Computes the Coefficients of a Hamming Window.
gknn

Generalized k-Nearest Neighbors Classification or Regression
ica

Independent Component Analysis
fclustIndex

Fuzzy Cluster Indexes (Validity/Performance Measures)
element

Extract Elements of an Array
matchControls

Find Matched Control Group
plot.stft

Plot Short Time Fourier Transforms
plot.tune

Plot Tuning Object
permutations

All Permutations of Integers 1:n
kurtosis

Kurtosis
matchClasses

Find Similar Classes in Two-way Contingency Tables
plot.svm

Plot SVM Objects
moment

Statistical Moment
lca

Latent Class Analysis (LCA)
naiveBayes

Naive Bayes Classifier
sigmoid

The Logistic Function and Derivatives
rectangle.window

Computes the Coefficients of a Rectangle Window.
allShortestPaths

Find Shortest Paths Between All Nodes in a Directed Graph
scale_data_frame

Scaling and Centering of Data Frames
skewness

Skewness
rwiener

Simulation of Wiener Process
read.matrix.csr

Read/Write Sparse Data
rbridge

Simulation of Brownian Bridge
stft

Computes the Short Time Fourier Transform of a Vector
svm

Support Vector Machines
tune.wrapper

Convenience Tuning Wrapper Functions
write.svm

Write SVM Object to File
tune.control

Control Parameters for the Tune Function
tune

Parameter Tuning of Functions Using Grid Search
predict.svm

Predict Method for Support Vector Machines
probplot

Probability Plot
cshell

Fuzzy C-Shell Clustering
cmeans

Fuzzy C-Means Clustering
classAgreement

Coefficients Comparing Classification Agreement
Discrete

Discrete Distribution
boxplot.bclust

Boxplot of Cluster Profiles
bincombinations

Binary Combinations
countpattern

Count Binary Patterns
bootstrap.lca

Bootstrap Samples of LCA Results
bclust

Bagged Clustering
e1071-deprecated

Deprecated Functions in Package e1071