aprx_mi: Approximation of the mutual information between two variables
In kelvinyangli/mbmml: Learn Markov blankets using Minimum Message Length
Description
This function approximates the mutual information between two variables based
on the given data.
Usage
1
Arguments
data
A categorical dataset.
n
Sample size.
x
A random variable X.
y
A random variable Y.
logBase
The base of logarithm. Default is 2.
smth
A small value to get rid of 0 occurence.
kelvinyangli/mbmml documentation built on June 29, 2020, 3:12 a.m.
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Description
This function approximates the mutual information between two variables based on the given data.
Usage
1 |
Arguments
data |
A categorical dataset. |
n |
Sample size. |
x |
A random variable X. |
y |
A random variable Y. |
logBase |
The base of logarithm. Default is 2. |
smth |
A small value to get rid of 0 occurence. |
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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