beta_binomial_pmf: Probability mass function for Beta-Binomial SSRE
In njjms/nicks: Basic Functions for Biostatistics
View source: R/beta_binomial_pmf.R
beta_binomial_pmf R Documentation
Probability mass function for Beta-Binomial SSRE
Description
Helper function used in a modified version of Zhong & Koopmeiners (2013) sample size reestimation approach.
The original paper details a design which compares two proportions and has an accompanying specification for
the reestimation procedure based on a z-statistic to save computational time.
In the case of one proportion, we can use beta-binomial distribution directly.
Usage
beta_binomial_pmf(m, alpha, beta, successes, failures)
Arguments
m
second stage sample size
successes
number of observed successes in first n samples
failures
number of observed failures in first n samples
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 df of simulated outcomes and posterior probabilities
njjms/nicks documentation built on May 4, 2022, 8:10 a.m.
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View source: R/beta_binomial_pmf.R
| beta_binomial_pmf | R Documentation |
Probability mass function for Beta-Binomial SSRE
Description
Helper function used in a modified version of Zhong & Koopmeiners (2013) sample size reestimation approach. The original paper details a design which compares two proportions and has an accompanying specification for the reestimation procedure based on a z-statistic to save computational time. In the case of one proportion, we can use beta-binomial distribution directly.
Usage
beta_binomial_pmf(m, alpha, beta, successes, failures)
Arguments
m |
second stage sample size |
successes |
number of observed successes in first n samples |
failures |
number of observed failures in first n samples |
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 df of simulated outcomes and posterior probabilities
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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