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 log-likelihood. 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. software@bayesian-inference.com
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