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beta.prior

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)

References

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

Boom

Bayesian Object Oriented Modeling

v0.9.7
LGPL-2.1 | file LICENSE
Authors
Steven L. Scott is the sole author and creator of the BOOM project. Some code in the BOOM libraries has been modified from other open source projects. These include Cephes (obtained from Netlib, written by Stephen L. Moshier), NEWUOA (M.J.D Powell, obtained from Powell's web site), and a modified version of the R math libraries (R core development team). Original copyright notices have been maintained in all source files. In these cases, copyright claimed by Steven L. Scott is limited to modifications made to the original code. Google claims copyright for code written while Steven L. Scott was employed at Google from 2008 - 2018, but BOOM is not an officially supported Google project.
Initial release
2021-02-15

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