bayes_one_stage_direct: Calculates rejection probability for one-stage Bayesian...

View source: R/bayes_one_stage_direct.R

bayes_one_stage_directR Documentation

Calculates rejection probability for one-stage Bayesian proportion test

Description

Calculates rejection probability for one-stage Bayesian proportion test

Usage

bayes_one_stage_direct(
  req_p = 0.995,
  true_p = 0.995,
  gamma = 0.8,
  n = 200,
  prior_alpha = 0.5,
  prior_beta = 0.5
)

Arguments

req_p

observed count

true_p

total count

gamma

posterior probability threshold needed to reject, defaults to .8

n

sample size, defaults to 200

prior_alpha

alpha parameter of beta prior, defaults to .5 (Jeffrey's prior)

prior_beta

beta parameter of beta prior, defaults to .5 (Jeffrey's prior)

Value

a 2-element list with df of all possible observed values and probability of rejection

Examples

bayes_one_stage_direct(true_p = .996,
                       n = 1800,
                       gamma = .7)

njjms/nicks documentation built on May 4, 2022, 8:10 a.m.