Description Usage Arguments Value
A function to compute the marginal probability that of a variable of being relevant.
1 | compvarMarg(K, D, n, lambda_0, nu_0, S_0, m, nu, lambda, S)
|
K |
The number of currently occupied clusters |
D |
The number of variables in the data matrix |
n |
The vector indicating the number of observations in each cluster |
lambda_0 |
The prior mean variance |
nu_0 |
The prior degrees of freedom |
S_0 |
The prior scale vector |
m |
The current posterior mean |
nu |
The current posterior degrees of freedom |
lambda |
The current posterior mean variance |
S |
The current posterior scale vector |
The log marginal probability of a variable being relevant.
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