tau2 depends on whether object
is a MarginalModel or a BatchModel. For
BatchModel, tau2 is a vector with length equal to the
number of components. Each element of the tau2 vector can
be interpreted as the within-component variance of the batch means
(theta). For objects of class MarginalModel
(assumes no batch effect), tau2 is a length-one vector that
describes the variance of the component means between batches. The
hyperparameters of tau2 are eta.0 and m2.0. See the
following examples for setting the hyperparameters, accessing the current
value of tau2 from a MixtureModel-derived object, and
for plotting the chain of tau2 values.
tau2(object)
"tau2"(object)
"tau2"(object)
"tau2"(object)showMethods(tau2)Hyperparameters
k(BatchModelExample)
tau2(BatchModelExample)
plot.ts(tau2(chains(BatchModelExample)))
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