KLD: Kullback-Leibler Divergence
In clintpgeorge/clda: Approximate Inference Algorithms for the Compound Latent Dirichlet Allocation Model
Description
Usage
Arguments
Note
See Also
Description
Kullback-Leibler Divergence
Usage
1
Arguments
p
a distribution as a vector
q
another distribution as a vector
Note
Adapted from the discussion
http://enterotype.embl.de/enterotypes.html
See Also
Other utils: H, JSD.matrix,
JSD, sample_antoniak,
sample_dirichlet,
sample_multinomial
clintpgeorge/clda documentation built on May 13, 2019, 8 p.m.
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Description Usage Arguments Note See Also
Description
Kullback-Leibler Divergence
Usage
1 |
Arguments
p |
a distribution as a vector |
q |
another distribution as a vector |
Note
Adapted from the discussion http://enterotype.embl.de/enterotypes.html
See Also
Other utils: H, JSD.matrix,
JSD, sample_antoniak,
sample_dirichlet,
sample_multinomial
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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