getCMIBiCondi {conMItion} | R Documentation |
Calculate Bivariate Conditional Mutual Information
Description
Computes conditional mutual information I(x_1; x_2 | x_3, x_4) using the specified number of bins and spline order.
Usage
getCMIBiCondi(x_1, x_2, x_3, x_4, bin = 6, sp_order = 2)
Arguments
x_1 |
A numeric vector for the first variable. |
x_2 |
A numeric vector for the second variable. Must match 'x_1' length. |
x_3 |
A numeric vector for the first condition variable. Must match 'x_1' length. |
x_4 |
A numeric vector for the second condition variable. Must match 'x_1' length. |
bin |
An integer specifying the number of bins. Default is 6. |
sp_order |
An integer specifying the spline order. Must be less than 'bin'. Default is 2. |
Value
A numeric value representing the bivariate conditional mutual information (CMI).
Examples
x_1 <- rnorm(100)
x_2 <- rnorm(100)
x_3 <- rnorm(100)
x_4 <- rnorm(100)
getCMIBiCondi(x_1, x_2, x_3, x_4)
[Package conMItion version 0.2.0 Index]