jsd_discrete_ci: Bootstrap confidence interval for discrete JSD

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

Bootstrap confidence interval for discrete JSD

Description

Bootstrap confidence interval for discrete JSD

Usage

jsd_discrete_ci(
  x,
  y,
  B = 1000,
  conf_level = 0.95,
  support = NULL,
  base = 2,
  eps = 1e-12,
  add_smoothing = FALSE,
  seed = NULL,
  na_rm = TRUE,
  na_rm_failed = TRUE
)

Arguments

x	Vector for group 1.
y	Vector for group 2.
B	Number of bootstrap replicates.
conf_level	Confidence level. Defaults to 0.95.
support	Optional support values.
base	Logarithm base. Defaults to 2. Use 'exp(1)' for nats.
eps	Small constant for numerical stability.
add_smoothing	Logical; add 1 to each cell count?
seed	Optional random seed.
na_rm	Logical; remove missing values?
na_rm_failed	Logical; drop failed bootstrap draws when summarizing?

Value

An object of class '"jsd_ci"'.

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