update_beta: Update Beta

In rangi513/grizbayr: Bayesian Inference for A|B and Bandit Marketing Tests

Update Beta

Description

Updates Beta Distribution with the Beta-Bernoulli conjugate prior update rule

Usage

update_beta(alpha, beta, priors = list())

Arguments

alpha	Double value for alpha (count of successes). Must be 0 or greater.
beta	Double value for beta (count of failures). Must be 0 or greater.
priors	An optional list object that contains alpha0 and beta0. Otherwise the function with use Beta(1,1) as the prior distribution.

Value

A tibble object that contains 'alpha' and 'beta'

Examples

update_beta(alpha = 1, beta = 5, priors = list(alpha0 = 2, beta0 = 2))
update_beta(alpha = 20000, beta = 50000)

rangi513/grizbayr documentation built on Oct. 17, 2023, 1:22 a.m.