evalZdensity: Evaluate the (negative log) unnormalized marginal z density...

In glmBfp: Bayesian Fractional Polynomials for GLMs

Description

Based on the result list from glmBayesMfp, for the first model in the list, the marginal z density can be evaluated.

Usage

evalZdensity(config, object, zValues, conditional = FALSE, debug = FALSE,
  higherOrderCorrection = FALSE)

Arguments

config	the configuration of a single GlmBayesMfp model. The null model is not allowed. It is interpreted in the context of object.
object	the GlmBayesMfp object
zValues	the z values
conditional	return the approximate *conditional* density f(y | z)? (not default)
debug	print debugging information? (not default)
higherOrderCorrection	should a higher-order correction of the Laplace approximation be used? (not default)

Value

the negative log marginal unnormalized density values at the zValues. (Note the words “negative”, “log”, and “unnormalized” !!!)

glmBfp documentation built on July 31, 2017, 3 p.m.