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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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Install
install.packages('e1071')
Monthly Downloads
325,272
Version
1.7-12
License
GPL-2 | GPL-3
Maintainer
David Meyer
Last Published
October 24th, 2022
Functions in e1071 (1.7-12)
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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