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e1071 (version 1.7-9)

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

1.7-9

License

GPL-2 | GPL-3

Maintainer

David Meyer

Last Published

September 16th, 2021

Functions in e1071 (1.7-9)

cshell

Fuzzy C-Shell Clustering
gknn

Generalized k-Nearest Neighbors Classification or Regression
hamming.distance

Hamming Distances of Vectors
ica

Independent Component Analysis
e1071-deprecated

Deprecated Functions in Package e1071
hsv_palette

Sequential color palette based on HSV colors
impute

Replace Missing Values
interpolate

Interpolate Values of Array
element

Extract Elements of an Array
permutations

All Permutations of Integers 1:n
plot.stft

Plot Short Time Fourier Transforms
fclustIndex

Fuzzy Cluster Indexes (Validity/Performance Measures)
predict.svm

Predict Method for Support Vector Machines
matchControls

Find Matched Control Group
matchClasses

Find Similar Classes in Two-way Contingency Tables
probplot

Probability Plot
allShortestPaths

Find Shortest Paths Between All Nodes in a Directed Graph
scale_data_frame

Scaling and Centering of Data Frames
moment

Statistical Moment
hamming.window

Computes the Coefficients of a Hamming Window.
kurtosis

Kurtosis
rbridge

Simulation of Brownian Bridge
hanning.window

Computes the Coefficients of a Hanning Window.
naiveBayes

Naive Bayes Classifier
sigmoid

The Logistic Function and Derivatives
tune

Parameter Tuning of Functions Using Grid Search
tune.control

Control Parameters for the Tune Function
skewness

Skewness
plot.tune

Plot Tuning Object
stft

Computes the Short Time Fourier Transform of a Vector
plot.svm

Plot SVM Objects
read.matrix.csr

Read/Write Sparse Data
rwiener

Simulation of Wiener Process
write.svm

Write SVM Object to File
svm

Support Vector Machines
lca

Latent Class Analysis (LCA)
rectangle.window

Computes the Coefficients of a Rectangle Window.
tune.wrapper

Convenience Tuning Wrapper Functions
bootstrap.lca

Bootstrap Samples of LCA Results
Discrete

Discrete Distribution
boxplot.bclust

Boxplot of Cluster Profiles
classAgreement

Coefficients Comparing Classification Agreement
bclust

Bagged Clustering
bincombinations

Binary Combinations
cmeans

Fuzzy C-Means Clustering
countpattern

Count Binary Patterns