ci.bayes.prop: Bayesian credible interval for a proportion

In statpsych: Statistical Methods for Psychologists

Bayesian credible interval for a proportion

Description

Computes a Bayesian credible interval for a population proportion using the mean and standard deviation of a prior Beta distribution along with sample information. The mean and standard deviation of the posterior Beta distribution are also reported. For a noninformative prior, set the prior mean to .5 and the prior standard deviation to 1/sqrt(12) (which corresponds to a Beta(1,1) distribution). The prior variance must be less than m(1 - m) where m is the prior mean.

Usage

ci.bayes.prop(alpha, prior.mean, prior.sd, f, n)

Arguments

alpha	alpha level for 1-alpha credibility interval
prior.mean	mean of prior Beta distribution
prior.sd	standard deviation of prior Beta distribution
f	number of participants who have the attribute
n	sample size

Value

Returns a 1-row matrix. The columns are:

• Posterior mean - posterior mean of Beta distribution

• Posterior SD - posterior standard deviation of Beta distribution

• LL - lower limit of the credible interval

• UL - upper limit of the credible interval

References

\insertRef

Gelman2004statpsych

Examples

ci.bayes.prop(.05, .4, .1, 12, 100)

# Should return:
# Posterior mean Posterior SD       LL        UL
#           0.15   0.03273268  0.09218 0.2188484

statpsych documentation built on Sept. 11, 2024, 7:42 p.m.