negent: Estimating negative entropy
In coatless/msos: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden
negent R Documentation
Estimating negative entropy
Description
Calculates the histogram-based estimate (A.2) of the negentropy,
Negent(g) = (1/2)*(1 + log(2\pi \sigma ^2)) - Entropy(g),
for a vector of observations.
Usage
negent(x, K = ceiling(log2(length(x)) + 1))
Arguments
x
The n-vector of observations.
K
The number of bins to use in the histogram.
Value
The value of the estimated negentropy.
See Also
negent2D,negent3D
Examples
# TBA - Submit a PR!
coatless/msos documentation built on Nov. 16, 2023, 5:31 a.m.
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| negent | R Documentation |
Estimating negative entropy
Description
Calculates the histogram-based estimate (A.2) of the negentropy,
Negent(g) = (1/2)*(1 + log(2\pi \sigma ^2)) - Entropy(g),
for a vector of observations.
Usage
negent(x, K = ceiling(log2(length(x)) + 1))
Arguments
x |
The |
K |
The number of bins to use in the histogram. |
Value
The value of the estimated negentropy.
See Also
negent2D,negent3D
Examples
# TBA - Submit a PR!
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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