LearnBayes: binomial.beta.mix – R documentation

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binomial.beta.mix

Computes the posterior for binomial sampling and a mixture of betas prior

Computes the parameters and mixing probabilities for a binomial sampling problem where the prior is a discrete mixture of beta densities.

binomial.beta.mix(probs,betapar,data)

`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

`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

Jim Albert

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)

Functions for Learning Bayesian Inference

v2.15.1

GPL (>= 2)

Authors

Jim Albert

Initial release

2018-03-18