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dlookr (version 0.6.3)

jsd: Jensen-Shannon Divergence

Description

Computes the Jensen-Shannon divergence between two probability distributions.

Usage

jsd(p, q, base = c("log", "log2", "log10"), margin = FALSE)

Value

numeric. Jensen-Shannon divergence of probability distributions p and q.

Arguments

p

numeric. probability distributions.

q

numeric. probability distributions.

base

character. log bases. "log", "log2", "log10". default is "log"

margin

logical. Choose whether to return individual values or totals. The default value is FALSE, which returns individual values.

See Also

kld.

Examples

Run this code
# Sample data for probability distributions p.
event <- c(115, 76, 61, 39, 55, 10, 1)
no_event <- c(3, 3, 7, 10, 28, 44, 117)

p <- event / sum(event)
q <- no_event / sum(no_event)

jsd(p, q)
jsd(p, q, base = "log2")
jsd(p, q, margin = TRUE)

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