Description Usage Arguments Value
A function to compute the probability of belonging to an unoccupied cluster for the SUGS algorithm
| 1 | sugsnewclusterProb(x, i, D, phi, betaHat, mu_0, lambda_0, nu_0, S_0)
 | 
| x | The current observation under consideration. | 
| i | The current iteration of the SUGS algorithm | 
| D | The number of variables | 
| phi | The weights associated with the dirichlet grid prior | 
| betaHat | The grid of values for the dirichlet concentration parameter | 
| mu_0 | The mean hyperparameter, default is the column means of the data matrix. | 
| lambda_0 | The variance of the Guassian mean prior, the dafault value is  | 
| nu_0 | The degrees of freedom hyperparameter, the default value is  | 
| S_0 | The scale hyperparamter, the deault value is a fifth of the column variance of the data matrix. | 
The unnormlised probability of the observation belonging to a new cluster
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