bbricks (version 0.1.4)

rPosterior.CatDirichlet: Generate ramdom samples from the posterior distribution of a "CatDirichlet" object

Description

Generate random samples from the posterior distribution of the following structure: $$pi|alpha\sim Dir(alpha)$$ $$x|pi\sim Categorical(pi)$$ Where Dir() is the Dirichlet distribution, Categorical() is the Categorical distribution. See ?dDir and dCategorical for the definitions of these distribution. The model structure and prior parameters are stored in a "CatDirichlet" object. Posterior distribution is Dir(pi|alpha).

Usage

# S3 method for CatDirichlet
rPosterior(obj, n = 1, ...)

Arguments

obj

A "CatDirichlet" object.

n

integer, the number of samples to be generated.

...

Additional arguments to be passed to other inherited types.

Value

A matrix, each row is a sample of pi.

See Also

CatDirichlet, dPosterior.CatDirichlet

Examples

# NOT RUN {
obj <- CatDirichlet(gamma=list(alpha=rep(1,26),uniqueLabels = letters))
rPosterior(obj = obj,n=3)
# }