KL: Compute symmetric version of Kullback-Leibler (KL) divergence...
In kshirley/LDAtools: Tools to fit a topic model using Latent Dirichlet Allocation (LDA)
Description
Compute symmetric version of Kullback-Leibler (KL)
divergence between two categorical distributions
Usage
1
KL(x, y)
Arguments
x
The vector of probabilities in the first
distribution
y
The vector of probabilities in the second
distribution
kshirley/LDAtools documentation built on May 20, 2019, 7:03 p.m.
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Description
Compute symmetric version of Kullback-Leibler (KL) divergence between two categorical distributions
Usage
1 | KL(x, y)
|
Arguments
x |
The vector of probabilities in the first distribution |
y |
The vector of probabilities in the second distribution |
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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