is.bayesian {LaplacesDemon}  R Documentation 
Logical Check of a Bayesian Model
Description
This function provides a logical test of whether or not a Model
specification function is Bayesian.
Usage
is.bayesian(Model, Initial.Values, Data)
Arguments
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

Details
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
\mathrm{D} = 2 \mathrm{LL}
,
where LL is the loglikelihood. Consequently,
\mathrm{LL} = \mathrm{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.
Value
The is.bayesian
function returns a logical value of TRUE
when the model is Bayesian, and FALSE
otherwise.
Author(s)
Statisticat, LLC. software@bayesianinference.com