Dear All,
I have a diagnosis variable with two states labeled as negative and positive, which are conditionally dependent on some continuous variables (e.g., age, years of education, etc…). So, I would like to model a hybrid Bayesian network that considers both discrete and continuous variables.
My question is: how could I model a discrete variable (Bernoulli distribution) conditionally dependent on a continuous variable (gaussian distribution) using BUGS language? I would appreciate any help.
Yours sincerely,
—
Flavio Luiz Seixas
Federal Fluminense University
Niterói - RJ - Brazil