BasicBayesian {bbricks} | R Documentation |
A Basic Bayesian Object is with following conditional dependency structure:
theta|gamma \sim H(gamma)
X|theta \sim F(theta)
Where H(gamma) is usually called "the prior distribution", F(theta) is called "the observation distribution". Objects of type "LinearGaussianGaussian", "GaussianGaussian", "GaussianInvWishart", "GaussianNIW", "GaussianNIG", "CatDirichlet" and "CatDP" are all "BasicBayesian"s.
BasicBayesian(ENV = parent.frame())
ENV |
The environment where you want to create the BasicBayesian object |
An object of class "BasicBayesian".
LinearGaussianGaussian
for Linear Gaussian and Gaussian conjugate structure, GaussianGaussian
for Gaussian-Gaussian conjugate structure, GaussianInvWishart
for Gaussian-Inverse-Wishart conjugate structure, GaussianNIW
for Gaussian-NIW conjugate structure, GaussianNIG
for Gaussian-NIG conjugate structure, CatDirichlet
for Categorical-Dirichlet conjugate structure, CatDP
for Categorical-DP conjugate structure ...