KL_divergence: Kullback-Leibler divergence
In exPrior: Prior Distributions Using a Bayesian Hierarchical Framework

KL_divergence calculates the Kullback-Leibler divergence

1	KL_divergence(theta, p_theta, q_theta)

`theta`	a vector of numerics containing values of the RV θ
`p_theta`	a vector of numerics containing values of the pdf p at locations theta
`q_theta`	a vector of numerics containing values of the pdf q at locations theta

The Kullback-Leibler divergence from q to p

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theta=seq(from=-5,to=5,by=0.1)
p_theta = dnorm(theta,mean = 0.2,sd = 1)
q_theta = dnorm(theta,mean = 0.25,sd = 0.5)

exPrior documentation built on Nov. 15, 2019, 1:07 a.m.

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