mi_disc: Discrete multivariate Mutual Information
In NlinTS: Models for Non Linear Causality Detection in Time Series
mi_disc R Documentation
Discrete multivariate Mutual Information
Description
Discrete multivariate Mutual Information
Usage
mi_disc(df, log = "log2", normalize = FALSE)
Arguments
df
Datafame of type Integer.
log
A string specifying the logarithm base for entropy calculation: "log2" (default), "loge", or "log10".
normalize
Logical argument (FALSE by default) for the option of normalizing the mutual information by dividing it by the joint entropy.
Details
Computes the Mutual Information between columns of a dataframe.
Examples
library (NlinTS)
df = data.frame (c(3,2,4,4,3), c(1,4,4,3,3))
mi = mi_disc (df)
print (mi)
NlinTS documentation built on March 23, 2026, 5:07 p.m.
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| mi_disc | R Documentation |
Discrete multivariate Mutual Information
Description
Discrete multivariate Mutual Information
Usage
mi_disc(df, log = "log2", normalize = FALSE)
Arguments
df |
Datafame of type Integer. |
log |
A string specifying the logarithm base for entropy calculation: "log2" (default), "loge", or "log10". |
normalize |
Logical argument (FALSE by default) for the option of normalizing the mutual information by dividing it by the joint entropy. |
Details
Computes the Mutual Information between columns of a dataframe.
Examples
library (NlinTS)
df = data.frame (c(3,2,4,4,3), c(1,4,4,3,3))
mi = mi_disc (df)
print (mi)
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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