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e1071 (version 1.7-14)
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
298,063
Version
1.7-14
License
GPL-2 | GPL-3
Maintainer
David Meyer
Last Published
December 6th, 2023
Functions in e1071 (1.7-14)
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ica
Independent Component Analysis
interpolate
Interpolate Values of Array
impute
Replace Missing Values
hamming.distance
Hamming Distances of Vectors
hanning.window
Computes the Coefficients of a Hanning Window.
permutations
All Permutations of Integers 1:n
plot.stft
Plot Short Time Fourier Transforms
moment
Statistical Moment
naiveBayes
Naive Bayes Classifier
gknn
Generalized k-Nearest Neighbors Classification or Regression
matchControls
Find Matched Control Group
element
Extract Elements of an Array
fclustIndex
Fuzzy Cluster Indexes (Validity/Performance Measures)
matchClasses
Find Similar Classes in Two-way Contingency Tables
kurtosis
Kurtosis
plot.tune
Plot Tuning Object
plot.svm
Plot SVM Objects
scale_data_frame
Scaling and Centering of Data Frames
sigmoid
The Logistic Function and Derivatives
skewness
Skewness
lca
Latent Class Analysis (LCA)
rbridge
Simulation of Brownian Bridge
read.matrix.csr
Read/Write Sparse Data
rwiener
Simulation of Wiener Process
rectangle.window
Computes the Coefficients of a Rectangle Window.
predict.svm
Predict Method for Support Vector Machines
tune
Parameter Tuning of Functions Using Grid Search
probplot
Probability Plot
allShortestPaths
Find Shortest Paths Between All Nodes in a Directed Graph
tune.wrapper
Convenience Tuning Wrapper Functions
tune.control
Control Parameters for the Tune Function
svm
Support Vector Machines
stft
Computes the Short Time Fourier Transform of a Vector
write.svm
Write SVM Object to File
bincombinations
Binary Combinations
cshell
Fuzzy C-Shell Clustering
countpattern
Count Binary Patterns
bootstrap.lca
Bootstrap Samples of LCA Results
Discrete
Discrete Distribution
e1071-deprecated
Deprecated Functions in Package e1071
boxplot.bclust
Boxplot of Cluster Profiles
classAgreement
Coefficients Comparing Classification Agreement
bclust
Bagged Clustering
cmeans
Fuzzy C-Means Clustering
hamming.window
Computes the Coefficients of a Hamming Window.
hsv_palette
Sequential color palette based on HSV colors