KL: KL Divergence
In bnmonitor: An Implementation of Sensitivity Analysis in Bayesian Networks
KL R Documentation
KL Divergence
Description
KL returns the Kullback-Leibler (KL) divergence between a Bayesian network and its update after parameter variation.
Usage
KL(x, ...)
Arguments
x
object of class bn.fit, GBN or CI.
...
parameters specific to the class used.
Details
The details depend on the class the method KL is applied to.
Value
A dataframe whose columns depend of the class of the object.
See Also
KL.GBN, KL.CI, Fro.CI, Fro.GBN, Jeffreys.GBN, Jeffreys.CI
bnmonitor documentation built on Sept. 30, 2024, 9:31 a.m.
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| KL | R Documentation |
KL Divergence
Description
KL returns the Kullback-Leibler (KL) divergence between a Bayesian network and its update after parameter variation.
Usage
KL(x, ...)
Arguments
x |
object of class |
... |
parameters specific to the class used. |
Details
The details depend on the class the method KL is applied to.
Value
A dataframe whose columns depend of the class of the object.
See Also
KL.GBN, KL.CI, Fro.CI, Fro.GBN, Jeffreys.GBN, Jeffreys.CI
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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