get_log_normconst: Obtain the log-normalizing constant from a fitted quadrature...

In aghq: Adaptive Gauss Hermite Quadrature for Bayesian Inference

Obtain the log-normalizing constant from a fitted quadrature object

Description

Quick helper S3 method to retrieve the log normalizing constant from an object created using the aghq package. Methods for a list (returned by aghq::normalize_posterior) and for objects of class aghq, laplace, and marginallaplace.

Usage

get_log_normconst(obj, ...)

## Default S3 method:
get_log_normconst(obj, ...)

## S3 method for class 'numeric'
get_log_normconst(obj, ...)

## S3 method for class 'aghq'
get_log_normconst(obj, ...)

## S3 method for class 'laplace'
get_log_normconst(obj, ...)

## S3 method for class 'marginallaplace'
get_log_normconst(obj, ...)

Arguments

obj	A list returned by aghq::normalize_posterior or an object of class aghq, laplace, or marginallaplace.
...	Not used

Value

A number representing the natural logarithm of the approximated normalizing constant.

See Also

Other quadrature: aghq(), get_hessian(), get_mode(), get_nodesandweights(), get_numquadpoints(), get_opt_results(), get_param_dim(), laplace_approximation(), marginal_laplace_tmb(), marginal_laplace(), nested_quadrature(), normalize_logpost(), optimize_theta(), plot.aghq(), print.aghqsummary(), print.aghq(), print.laplacesummary(), print.laplace(), print.marginallaplacesummary(), summary.aghq(), summary.laplace(), summary.marginallaplace()

aghq documentation built on June 7, 2023, 5:10 p.m.