Based on the result list from glmBayesMfp
, for the first model
in the list, the marginal z density can be evaluated.
evalZdensity(
config,
object,
zValues,
conditional = FALSE,
debug = FALSE,
higherOrderCorrection = FALSE
)
the configuration of a single GlmBayesMfp
model. The
null model is not allowed. It is interpreted in the context of
object
.
the GlmBayesMfp
object
the z values
return the approximate *conditional* density f(y | z)? (not default)
print debugging information? (not default)
should a higher-order correction of the Laplace approximation be used? (not default)
the negative log marginal unnormalized density values at the
zValues
. (Note the words “negative”, “log”, and
“unnormalized” !!!)