dPosterior.GaussianGaussian: Density function of the posterior distribution of a "GaussianGaussian" object
Description
Generate the the density value of the posterior distribution of the following structure:
$$x \sim Gaussian(mu,Sigma)$$
$$mu \sim Gaussian(m,S)$$
Where Sigma is known. Gaussian() is the Gaussian distribution. See ?dGaussian for the definition of Gaussian distribution.
The model structure and prior parameters are stored in a "GaussianGaussian" object.
Posterior density is the density function of Gaussian(mu|m,S).
# NOT RUN {obj <- GaussianGaussian(gamma=list(Sigma=matrix(c(2,1,1,2),2,2),m=c(0.2,0.5),S=diag(2)))
mu <- rGaussian(10,mu=c(0,0),Sigma = diag(2))
dPosterior(obj=obj,mu=mu)
# }