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e1071 (version 1.7-11)

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

539,706

Version

1.7-11

License

GPL-2 | GPL-3

Maintainer

David Meyer

Last Published

June 7th, 2022

Functions in e1071 (1.7-11)

Discrete

Discrete Distribution
cmeans

Fuzzy C-Means Clustering
impute

Replace Missing Values
gknn

Generalized k-Nearest Neighbors Classification or Regression
hamming.distance

Hamming Distances of Vectors
matchClasses

Find Similar Classes in Two-way Contingency Tables
matchControls

Find Matched Control Group
ica

Independent Component Analysis
permutations

All Permutations of Integers 1:n
hsv_palette

Sequential color palette based on HSV colors
plot.stft

Plot Short Time Fourier Transforms
sigmoid

The Logistic Function and Derivatives
skewness

Skewness
rwiener

Simulation of Wiener Process
rectangle.window

Computes the Coefficients of a Rectangle Window.
tune.wrapper

Convenience Tuning Wrapper Functions
hanning.window

Computes the Coefficients of a Hanning Window.
moment

Statistical Moment
classAgreement

Coefficients Comparing Classification Agreement
hamming.window

Computes the Coefficients of a Hamming Window.
write.svm

Write SVM Object to File
element

Extract Elements of an Array
naiveBayes

Naive Bayes Classifier
kurtosis

Kurtosis
scale_data_frame

Scaling and Centering of Data Frames
allShortestPaths

Find Shortest Paths Between All Nodes in a Directed Graph
fclustIndex

Fuzzy Cluster Indexes (Validity/Performance Measures)
interpolate

Interpolate Values of Array
plot.svm

Plot SVM Objects
predict.svm

Predict Method for Support Vector Machines
lca

Latent Class Analysis (LCA)
plot.tune

Plot Tuning Object
rbridge

Simulation of Brownian Bridge
probplot

Probability Plot
read.matrix.csr

Read/Write Sparse Data
stft

Computes the Short Time Fourier Transform of a Vector
svm

Support Vector Machines
tune

Parameter Tuning of Functions Using Grid Search
tune.control

Control Parameters for the Tune Function
bincombinations

Binary Combinations
cshell

Fuzzy C-Shell Clustering
boxplot.bclust

Boxplot of Cluster Profiles
countpattern

Count Binary Patterns
bootstrap.lca

Bootstrap Samples of LCA Results
e1071-deprecated

Deprecated Functions in Package e1071
bclust

Bagged Clustering