PosteriorDraw: Draw from the posterior distribution

In dirichletprocess: Build Dirichlet Process Objects for Bayesian Modelling

Draw from the posterior distribution

Description

Draw from the posterior distribution

Usage

## S3 method for class 'exponential'
PosteriorDraw(mdObj, x, n = 1, ...)

PosteriorDraw(mdObj, x, n = 1, ...)

## S3 method for class 'mvnormal'
PosteriorDraw(mdObj, x, n = 1, ...)

## S3 method for class 'mvnormal2'
PosteriorDraw(mdObj, x, n = 1, ...)

## S3 method for class 'normalFixedVariance'
PosteriorDraw(mdObj, x, n = 1, ...)

## S3 method for class 'normal'
PosteriorDraw(mdObj, x, n = 1, ...)

## S3 method for class 'weibull'
PosteriorDraw(mdObj, x, n = 100, ...)

Arguments

mdObj	Mixing Distribution
x	Data
n	Number of draws
...	For a non-conjugate distribution the starting parameters. Defaults to a draw from the prior distribution.

Value

A sample from the posterior distribution

dirichletprocess documentation built on Aug. 25, 2023, 5:19 p.m.