Description Usage Arguments Details Value Author(s) See Also
This function provides a logical test of whether or not a Model
specification function is Bayesian.
1  is.bayesian(Model, Initial.Values, Data)

Model 
This is a model specification function. For more
information, see the 
Initial.Values 
This is a vector of initial values, or current
parameter values. For more information, see the

Data 
This is a list of data. For more information, see the

This function tests whether or not a model is Bayesian by comparing
the first two returned arguments: the logarithm of the unnormalized
joint posterior density (LP
) and deviance (Dev
). The
deviance (D) is
D = 2 LL
,
where LL is the loglikelihood. Consequently,
LL = D / 2
,
and LP is the sum of LL and prior probability densities. If LP = LL, then the model is not Bayesian, because prior densities are absent.
The is.bayesian
function returns a logical value of TRUE
when the model is Bayesian, and FALSE
otherwise.
Statisticat, LLC. [email protected]
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.