jsd_continuous_ci: Bootstrap confidence interval for continuous JSD

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

Bootstrap confidence interval for continuous JSD

Description

Bootstrap confidence interval for continuous JSD

Usage

jsd_continuous_ci(
  x,
  y,
  B = 1000,
  conf_level = 0.95,
  L = NULL,
  U = NULL,
  base = 2,
  bw = "nrd0",
  kernel = "gaussian",
  grid_n = 4096,
  qrange = c(0.001, 0.999),
  extend = 3,
  eps = 1e-12,
  renormalize = TRUE,
  seed = NULL,
  na_rm = TRUE,
  na_rm_failed = TRUE
)

Arguments

x	Numeric vector for group 1.
y	Numeric vector for group 2.
B	Number of bootstrap replicates.
conf_level	Confidence level. Defaults to 0.95.
L	Optional lower integration bound.
U	Optional upper integration bound.
base	Logarithm base. Defaults to 2. Use 'exp(1)' for nats.
bw	Bandwidth passed to [stats::density()].
kernel	Kernel passed to [stats::density()].
grid_n	Number of grid points used for KDE.
qrange	Quantile range used when 'L' and 'U' are not supplied.
extend	Extension multiplier for the automatically chosen range.
eps	Small constant for numerical stability.
renormalize	Logical; renormalize estimated densities over the grid?
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.