MIRES: ddirichletprocess_stan – R documentation

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ddirichletprocess_stan

Create Stan-based density function.

Create Stan-based density function.

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

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

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

Stephen Martin

Measurement Invariance Assessment Using Random Effects Models and Shrinkage

v0.1.0

MIT + file LICENSE

Authors

Stephen Martin [aut, cre] (<https://orcid.org/0000-0001-8085-2390>), Philippe Rast [aut] (<https://orcid.org/0000-0003-3630-6629>)

Initial release