beta.prior: Beta prior for a binomial proportion

In Boom: Bayesian Object Oriented Modeling

Beta prior for a binomial proportion

Description

Specifies beta prior distribution for a binomial probability parameter.

Usage

  BetaPrior(a = 1, b = 1, mean = NULL, sample.size = NULL,
            initial.value = NULL)

Arguments

a	A positive real number interpretable as a prior success count.
b	A positive real number interpretable as a prior failure count.
mean	A positive real number representing a/(a+b).
sample.size	A positive real number representing a+b.
initial.value	An initial value to be used for the variable being modeled. If NULL then the mean of the distribution will be used instead.

Details

The distribution should be specified either with a and b, or with mean and sample.size.

Author(s)

Steven L. Scott [e-mail]

References

Gelman, Carlin, Stern, Rubin (2003), "Bayesian Data Analysis", Chapman and Hall.

Boom documentation built on May 29, 2024, 5:08 a.m.