COUNTREG Procedure
PRIOR Statement
PRIOR _REGRESSORS parameter-list ~ distribution ;
The PRIOR statement specifies the prior distribution of the model parameters. You must specify a single parameter or a list of parameters, a tilde (~), and then a distribution with its parameters. Multiple PRIOR statements are allowed.
You can specify the following distributions:
- BETA(SHAPE1=a, SHAPE2=b, MIN=m, MAX=M)
specifies a beta distribution that has the parameters SHAPE1 and SHAPE2 and is defined between MIN and MAX.
- GAMMA(SHAPE=a, SCALE=b)
specifies a gamma distribution that has the parameters SHAPE and SCALE.
- IGAMMA(SHAPE=a, SCALE=b)
specifies an inverse gamma distribution that has the parameters SHAPE and SCALE.
-
NORMAL(MEAN=
, VAR=
)
specifies a normal distribution that has the parameters MEAN and VAR.
-
T(LOCATION=, DF=
)
specifies a noncentral t distribution that has DF degrees of freedom and a location parameter equal to LOCATION.
- UNIFORM(MIN=m, MAX=M)
specifies a uniform distribution that is defined between MIN and MAX.
For more information about how to specify distributions, see the section Standard Distributions.
You can specify the special keyword _REGRESSORS to select all the parameters that are used in the linear regression component of the model.