jsmc: jsmc
In VBmix: Variational Bayesian Mixture Models
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
computes Monte Carlo estimate of Jensen-Shannon (JS) divergence between GMM.
Usage
1
jsmc(mod1, mod2, nsamp = 5000)
Arguments
mod1
GMM parameter to JS(mod1 || mod2).
mod2
GMM parameter to JS(mod1 || mod2).
nsamp
number of samples used to build estimate.
Value
JS divergence value.
Author(s)
Pierrick Bruneau
See Also
klmc gaussianKL
Examples
1
VBmix documentation built on May 30, 2017, 2:34 a.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
computes Monte Carlo estimate of Jensen-Shannon (JS) divergence between GMM.
Usage
1 | jsmc(mod1, mod2, nsamp = 5000)
|
Arguments
mod1 |
GMM parameter to JS(mod1 || mod2). |
mod2 |
GMM parameter to JS(mod1 || mod2). |
nsamp |
number of samples used to build estimate. |
Value
JS divergence value.
Author(s)
Pierrick Bruneau
See Also
klmc gaussianKL
Examples
1 |
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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