ReferenceMeasureDiscrete: Discrete Reference Measure for BayesSpaces

View source: R/Bayes_spaces.R

ReferenceMeasureDiscreteR Documentation

Discrete Reference Measure for BayesSpaces

Description

A discrete reference measure is a measure on a discrete support.

Usage

ReferenceMeasureDiscrete(
  X,
  p = rep(1/length(X), length(X)),
  sampler = NULL,
  support = Support(X = X)
)

Arguments

X

either a complete vector or list of all possible values or a subset that can be used as a sample. In this case the support shall be given.

p

is either vector of probability values, or a function mapping a value to its probability. Currently only uniform distributions are supported

sampler

a function of a number of random realizations, that samples ffrom this measure.

support

the support to be used for the ReferenceMeasure

Value

An object of type ReferenceMeasureDiscrete encapsulating this measure

See Also

Other ReferenceMeasures: B2N01, ReferenceMeasureTransformed(), ReferenceMeasureUniform(), StdReferenceMeasureUnif01, expectation(), getSample(), isInDomain()

Examples

X <- c("A","B","C")
( rmd <- ReferenceMeasureDiscrete(X) )

DistributionalDDA documentation built on Oct. 20, 2026, 5:06 p.m.