DpmmLoglik: Calculate the log likelihood for the Gaussian DP mixture...
In jlin-vt/SML: Statistical Machine Learning
View source: R/gibbs_crp_gmm1d.R
Description
Calculate the log likelihood for the Gaussian DP mixture model
Mean and variance parameters marginalized under normal-gamma prior
This corresponds to a generalized Student's t-distribution
NB: some constant terms are ignored
Usage
1
DpmmLoglik(xn, x, tau0, beta0, mu0, kappa0)
jlin-vt/SML documentation built on Dec. 5, 2019, 2:05 a.m.
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View source: R/gibbs_crp_gmm1d.R
Description
Calculate the log likelihood for the Gaussian DP mixture model Mean and variance parameters marginalized under normal-gamma prior This corresponds to a generalized Student's t-distribution NB: some constant terms are ignored
Usage
1 | DpmmLoglik(xn, x, tau0, beta0, mu0, kappa0)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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