This class inherits from the Hyperparameters class. This class is for hyperparameters which are hierachical over the batches.
k
Number of components
mu.0
Prior mean for mu.
tau2.0
prior variance on mu
eta.0
rate paramater for tau2
m2.0
shape parameter for tau2
alpha
mixture probabilities
beta
parameter for nu.0 distribution
a
shape for sigma2.0
b
rate for sigma2.0
dfr
positive number for t-distribution degrees of freedom
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