jsDivergenceMtx: Jensen-Shannon Divergence Between Matrices
In astrolabediagnostics/orloj: Utilities for the Astrolabe Diagnostics platform
Description
Usage
Arguments
Value
Description
Compute the Jensen-Shannon (JS) divergence between two matrices. The matrices
are each converted into a one-dimensional probability distribution which are
then feed into the JS equation.
Usage
1
jsDivergenceMtx(mtx1, mtx2, n = 25)
Arguments
mtx1, mtx2
Numeric matrices which provide the data for the JS
divergence calculation.
n
Number of grid points in each direction. Can be a scalar or a
length-2 integer vector.
Value
JS divergence between mtx1 and mtx2.
astrolabediagnostics/orloj documentation built on May 20, 2021, 2:17 p.m.
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Description Usage Arguments Value
Description
Compute the Jensen-Shannon (JS) divergence between two matrices. The matrices are each converted into a one-dimensional probability distribution which are then feed into the JS equation.
Usage
1 | jsDivergenceMtx(mtx1, mtx2, n = 25)
|
Arguments
mtx1, mtx2 |
Numeric matrices which provide the data for the JS divergence calculation. |
n |
Number of grid points in each direction. Can be a scalar or a length-2 integer vector. |
Value
JS divergence between mtx1 and mtx2.
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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