ddirichletprocess_stan: Create Stan-based density function.

In MIRES: Measurement Invariance Assessment Using Random Effects Models and Shrinkage

Description

Create Stan-based density function.

Usage

ddirichletprocess_stan(mcmc, mode = "est", K = 200, model = "dpHNormal", ...)

Arguments

mcmc	MCMC samples.
mode	posterior or est.
K	Number of DP components (Default: 200)
model	dpHNormal, dpExp, dpGauss, or dpWeibull (Default: dpHNormal).
...	Not used.

Value

Function returning vector (if est) or matrix (if posterior)

Author(s)

Stephen Martin

MIRES documentation built on Feb. 22, 2021, 5:10 p.m.