pdisc: Posterior distribution for a proportion with discrete priors

In LearnBayes: Functions for Learning Bayesian Inference

Description

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

Usage

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

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

Example output

[1] 0.1502369 0.2404581 0.3001328 0.3091723

LearnBayes documentation built on May 1, 2019, 7:03 p.m.