drawDPM: Gibbs sampler for Dirichlet Process Mixture of Normals
In fditraglia/binivdoctr:

Gibbs sampler for Dirichlet Process Mixture of Normals

1 2	drawDPM(X, nDraws = 5000, burnIn = 1000, maxClust = 50, A = 1000, xi_sq = NULL, eta1 = 2, eta2 = 2, nu1 = 2, nu2 = 2)

`X`	Vector of input data.
`nDraws`	Number of draws from the Gibbs sampler (exluding burn-in).
`burnIn`	Number of burn-in draws.
`maxClust`	Maximum number of mixture components.
`A`	Prior parameter.
`xi_sq`	Prior parameter.
`eta1`	Prior parameter.
`eta2`	Prior parameter.
`nu1`	Prior parameter.
`nu2`	Prior parameter.

List of MCMC draws for mu (means of mixture components), sigma_sq (variances of mixture components), p (mixing probabilities), alpha, theta, and K (assignment of observations to clusters).

fditraglia/binivdoctr documentation built on May 16, 2019, 12:10 p.m.