binomial.beta.mix {LearnBayes} | R Documentation |
Computes the posterior for binomial sampling and a mixture of betas prior
Description
Computes the parameters and mixing probabilities for a binomial sampling problem where the prior is a discrete mixture of beta densities.
Usage
binomial.beta.mix(probs,betapar,data)
Arguments
probs |
vector of probabilities of the beta components of the prior |
betapar |
matrix where each row contains the shape parameters for a beta component of the prior |
data |
vector of number of successes and number of failures |
Value
probs |
vector of probabilities of the beta components of the posterior |
betapar |
matrix where each row contains the shape parameters for a beta component of the posterior |
Author(s)
Jim Albert
Examples
probs=c(.5, .5)
beta.par1=c(15,5)
beta.par2=c(10,10)
betapar=rbind(beta.par1,beta.par2)
data=c(20,15)
binomial.beta.mix(probs,betapar,data)
[Package LearnBayes version 2.15.1 Index]