entropy_cont: Continuous entropy
In NlinTS: Models for Non Linear Causality Detection in Time Series
entropy_cont R Documentation
Continuous entropy
Description
Continuous entropy
Usage
entropy_cont(V, k = 3, log = "loge")
Arguments
V
Interger vector.
k
Integer argument specifying the number of neighbors.
log
A string specifying the logarithm base: "log2", "loge" (default), or "log10".
Details
Computes the continuous entropy of a numerical vector using the Kozachenko approximation.
References
\insertRefkraskov2004estimatingNlinTS
Examples
library (timeSeries)
library (NlinTS)
#load data
data = LPP2005REC
print (entropy_cont (data[,1], 3))
NlinTS documentation built on March 23, 2026, 5:07 p.m.
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| entropy_cont | R Documentation |
Continuous entropy
Description
Continuous entropy
Usage
entropy_cont(V, k = 3, log = "loge")
Arguments
V |
Interger vector. |
k |
Integer argument specifying the number of neighbors. |
log |
A string specifying the logarithm base: "log2", "loge" (default), or "log10". |
Details
Computes the continuous entropy of a numerical vector using the Kozachenko approximation.
References
\insertRefkraskov2004estimatingNlinTS
Examples
library (timeSeries)
library (NlinTS)
#load data
data = LPP2005REC
print (entropy_cont (data[,1], 3))
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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