genJSD: Generalized Jensen-Shannon divergence
In kellylab/infograf: Grab Bag of Information Theory and Graph Theory Tools
Description
Usage
Arguments
Value
Description
Generalized Jensen-Shannon divergence from matrix.
Usage
1
Arguments
x
Matrix where each column is a discrete/binned probability distribution
(doesn't have to be normalized)
w
weights of distributions, length must == ncol(x)
Value
JSD of all distribs in x
kellylab/infograf documentation built on May 30, 2019, 3:10 p.m.
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Description Usage Arguments Value
Description
Generalized Jensen-Shannon divergence from matrix.
Usage
1 |
Arguments
x |
Matrix where each column is a discrete/binned probability distribution (doesn't have to be normalized) |
w |
weights of distributions, length must == ncol(x) |
Value
JSD of all distribs in x
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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