min_n_beta_binom: Minimum n for Target Assurance (Beta-Binomial)

In powerbrmsINLA: Bayesian Power Analysis Using 'brms' and 'INLA'

Minimum n for Target Assurance (Beta-Binomial)

Description

Minimum n for Target Assurance (Beta-Binomial)

Usage

min_n_beta_binom(
  gen_prior_mode,
  gen_prior_n,
  desired_power,
  aud_prior_mode = 0.5,
  aud_prior_n = 2,
  hdi_mass = 0.95,
  rope = NULL,
  hdi_max_width = NULL,
  n_start = 20,
  n_max = 1e+05,
  verbose = TRUE
)

Arguments

gen_prior_mode	Generating prior mode in (0,1).
gen_prior_n	Generating prior concentration (>= 2).
desired_power	Target assurance value in (0,1).
aud_prior_mode	Audience prior mode in (0,1).
aud_prior_n	Audience prior concentration (>= 2).
hdi_mass	HDI mass (e.g., 0.95).
rope	Length-2 numeric vector for ROPE bounds, or NULL for max-width rule.
hdi_max_width	Positive width threshold for the HDI (used if rope=NULL).
n_start	Starting sample size for search.
n_max	Maximum sample size to try.
verbose	If TRUE, prints progress.

Value

Smallest n meeting the target assurance.

powerbrmsINLA documentation built on July 2, 2026, 5:07 p.m.