Prior effective sample size

Quantifies the prior effective sample size (ESS) of an elicited prior described by a bgm_parameters object. The estimators available depend on the class of params. See the method pages listed under Details.

Usage

prior_ess(params, estimator = NULL, ...)

Arguments

params

A bgm_elicited object, as returned by elicit_prior.

estimator

Character vector selecting the estimators, or NULL (default) to compute all available estimators for the family/prior. Several estimators are available "VR", "PR", "MTM", "PT", and "ELIR".

...

Family-specific arguments passed to the method (e.g., n_samples, the Monte Carlo sample size for simulation-based estimators).

Value

A prior_ess object. Its estimates component is a named numeric vector with one entry per each specified estimator. print and summary methods ara available.

Details

Methods are available for the following classes:

ggm_elicited

Gaussian graphical models

When estimator is NULL all available estimators are computed together using an optimized routine that shares intermediate quantities and avoids recomputation.

See also

Other prior ess: prior_ess.ggm_elicited()