Creates an object representing the prior distribution on models for BAS using a truncated Poisson Distribution on the Model Size
tr.poisson(lambda, trunc)
returns an object of class "prior", with the family and hyperparameters.
parameter in the Poisson distribution representing expected model size with infinite predictors
parameter that determines truncation in the distribution i.e. P(M; lambda, trunc) = 0 if M > trunc
Merlise Clyde
The Poisson prior distribution on model size is obtained by assigning each variable inclusion indicator independent Bernoulli distributions with probability w, and then taking a limit as p goes to infinity and w goes to zero, such that p*w converges to lambda. The Truncated version assigns zero probability to all models of size M > trunc.
bas.lm
, Bernoulli
,uniform
Other priors modelpriors:
Bernoulli.heredity()
,
Bernoulli()
,
beta.binomial()
,
tr.beta.binomial()
,
tr.power.prior()
,
uniform()