kld_discrete: Analytical KL divergence for two discrete distributions
In kldest: Sample-Based Estimation of Kullback-Leibler Divergence
View source: R/kld-analytical.R
kld_discrete R Documentation
Analytical KL divergence for two discrete distributions
Description
Analytical KL divergence for two discrete distributions
Usage
kld_discrete(P, Q)
Arguments
P, Q
Numerical arrays with the same dimensions, representing discrete
probability distributions
Value
A scalar (the Kullback-Leibler divergence)
Examples
# 1-D example
P <- 1:4/10
Q <- rep(0.25,4)
kld_discrete(P,Q)
# The above example in 2-D
P <- matrix(1:4/10,nrow=2)
Q <- matrix(0.25,nrow=2,ncol=2)
kld_discrete(P,Q)
kldest documentation built on May 29, 2024, 3 a.m.
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View source: R/kld-analytical.R
| kld_discrete | R Documentation |
Analytical KL divergence for two discrete distributions
Description
Analytical KL divergence for two discrete distributions
Usage
kld_discrete(P, Q)
Arguments
P, Q |
Numerical arrays with the same dimensions, representing discrete probability distributions |
Value
A scalar (the Kullback-Leibler divergence)
Examples
# 1-D example
P <- 1:4/10
Q <- rep(0.25,4)
kld_discrete(P,Q)
# The above example in 2-D
P <- matrix(1:4/10,nrow=2)
Q <- matrix(0.25,nrow=2,ncol=2)
kld_discrete(P,Q)
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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