jsd_ci: Bootstrap confidence interval for Jensen-Shannon divergence

In jsdtools: Jensen-Shannon Divergence Estimation, Confidence Intervals, and Distribution Plots

Bootstrap confidence interval for Jensen-Shannon divergence

Description

Unified front-end for JSD confidence interval estimation for continuous and discrete variables.

Usage

jsd_ci(
  x,
  y,
  type = c("auto", "continuous", "discrete"),
  B = 1000,
  conf_level = 0.95,
  base = 2,
  seed = NULL,
  ...
)

Arguments

x	First vector.
y	Second vector.
type	One of '"auto"', '"continuous"', or '"discrete"'.
B	Number of bootstrap replicates.
conf_level	Confidence level. Defaults to 0.95.
base	Logarithm base. Defaults to 2. Use 'exp(1)' for nats.
seed	Optional random seed.
...	Additional arguments passed to the type-specific bootstrap estimator.

Value

An object of class '"jsd_ci"'.

jsdtools documentation built on March 31, 2026, 1:06 a.m.