dirichlet.prior: Dirichlet prior for a multinomial distribution
In Boom: Bayesian Object Oriented Modeling
dirichlet.prior R Documentation
Dirichlet prior for a multinomial distribution
Description
Specifies Dirichlet prior for a discrete probability
distribution.
Usage
DirichletPrior(prior.counts, initial.value = NULL)
Arguments
prior.counts
A vector of positive numbers representing prior counts.
initial.value
The initial value in the MCMC algorithm of the
distribution being modeled.
Author(s)
Steven L. Scott steve.the.bayesian@gmail.com
References
Gelman, Carlin, Stern, Rubin (2003), "Bayesian Data Analysis", Chapman
and Hall.
Boom documentation built on Nov. 10, 2022, 5:56 p.m.
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| dirichlet.prior | R Documentation |
Dirichlet prior for a multinomial distribution
Description
Specifies Dirichlet prior for a discrete probability distribution.
Usage
DirichletPrior(prior.counts, initial.value = NULL)
Arguments
prior.counts |
A vector of positive numbers representing prior counts. |
initial.value |
The initial value in the MCMC algorithm of the distribution being modeled. |
Author(s)
Steven L. Scott steve.the.bayesian@gmail.com
References
Gelman, Carlin, Stern, Rubin (2003), "Bayesian Data Analysis", Chapman and Hall.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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