Beta_binomial: Beta-binomial distribution of second-stage binary outcomes

In IDDI-BE/PhII_Bayes: Bayesian tools for PhII clinical trial design

Description

This function calculates the probability density for second-stage binary outcomes

Usage

Beta_binomial(N, n1, x1, beta_par)

Arguments

N	total number of patients (stage1 + stage2)
n1	total number of patients in stage1
x1	number of successes in stage1
beta_par	two shape parameters c(alpha,beta) for beta distribution

Value

a dataframe with two variables:

• x2: all possible outcomes (number of successes) for stage2

• prediction: density for each outcome

Examples

## Not run: 
Beta_binomial(N=40,n1=23,x1=16,beta_par=c(1,1))

## End(Not run)

IDDI-BE/PhII_Bayes documentation built on May 19, 2021, 3:04 p.m.