pdisc: Posterior distribution for a proportion with discrete priors

Description Usage Arguments Value Author(s) Examples

Description

Computes the posterior distribution for a proportion for a discrete prior distribution.

Usage

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pdisc(p, prior, data)

Arguments

p

vector of proportion values

prior

vector of prior probabilities

data

vector consisting of number of successes and number of failures

Value

vector of posterior probabilities

Author(s)

Jim Albert

Examples

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p=c(.2,.25,.3,.35)
prior=c(.25,.25,.25,.25)
data=c(5,10)
pdisc(p,prior,data)

LearnBayes documentation built on May 30, 2017, 4:48 a.m.

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