bbricks (version 0.1.4)

MPE.CatDirichlet: MPE of a "CatDirichlet" object

Description

Generate the MPE of "pi" in following Categorical-Dirichlet 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. MPE is pi_MPE = E(pi|alpha,x), E() is the expectation function.

Usage

# S3 method for CatDirichlet
MPE(obj, ...)

Arguments

obj

A "CatDirichlet" object.

...

Additional arguments to be passed to other inherited types.

Value

A numeric vector, the MPE of "pi".

References

Murphy, Kevin P. Machine learning: a probabilistic perspective. MIT press, 2012.

See Also

CatDirichlet

Examples

# NOT RUN {
obj <- CatDirichlet(gamma=list(alpha=rep(1,26),uniqueLabels = letters))
x <- sample(letters,size = 20,replace = TRUE)
w <- runif(20)
posterior(obj=obj,ss=x,w=w)
MPE(obj)
# }