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e1071 (version 1.7-7)
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
1.7-7
License
GPL-2 | GPL-3
Maintainer
David Meyer
Last Published
May 23rd, 2021
Functions in e1071 (1.7-7)
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bootstrap.lca
Bootstrap Samples of LCA Results
boxplot.bclust
Boxplot of Cluster Profiles
bincombinations
Binary Combinations
cshell
Fuzzy C-Shell Clustering
classAgreement
Coefficients Comparing Classification Agreement
e1071-deprecated
Deprecated Functions in Package e1071
cmeans
Fuzzy C-Means Clustering
countpattern
Count Binary Patterns
Discrete
Discrete Distribution
hamming.distance
Hamming Distances of Vectors
gknn
Generalized k-Nearest Neighbors Classification or Regression
bclust
Bagged Clustering
impute
Replace Missing Values
hanning.window
Computes the Coefficients of a Hanning Window.
matchClasses
Find Similar Classes in Two-way Contingency Tables
matchControls
Find Matched Control Group
hamming.window
Computes the Coefficients of a Hamming Window.
permutations
All Permutations of Integers 1:n
hsv_palette
Sequential color palette based on HSV colors
plot.stft
Plot Short Time Fourier Transforms
ica
Independent Component Analysis
element
Extract Elements of an Array
interpolate
Interpolate Values of Array
naiveBayes
Naive Bayes Classifier
plot.svm
Plot SVM Objects
rectangle.window
Computes the Coefficients of a Rectangle Window.
kurtosis
Kurtosis
moment
Statistical Moment
skewness
Skewness
sigmoid
The Logistic Function and Derivatives
tune
Parameter Tuning of Functions Using Grid Search
probplot
Probability Plot
tune.control
Control Parameters for the Tune Function
lca
Latent Class Analysis (LCA)
predict.svm
Predict Method for Support Vector Machines
tune.wrapper
Convenience Tuning Wrapper Functions
rbridge
Simulation of Brownian Bridge
fclustIndex
Fuzzy Cluster Indexes (Validity/Performance Measures)
rwiener
Simulation of Wiener Process
scale_data_frame
Scaling and Centering of Data Frames
plot.tune
Plot Tuning Object
read.matrix.csr
Read/Write Sparse Data
write.svm
Write SVM Object to File
allShortestPaths
Find Shortest Paths Between All Nodes in a Directed Graph
stft
Computes the Short Time Fourier Transform of a Vector
svm
Support Vector Machines