Generate random samples from the posterior distribution of the following structure:
x \sim Gaussian(mu,Sigma)
Sigma \sim InvWishart(v,S)
mu is known. Gaussian() is the Gaussian distribution. See
?dInvWishart for the definition of the distributions.
The model structure and prior parameters are stored in a "GaussianInvWishart" object.
Posterior distribution is InvWishart(Sigma|v,S).
A "GaussianInvWishart" object.
Additional arguments to be passed to other inherited types.
matrix, a sample of Sigma.
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