test_evidence: Test Graphical Evidence

In graphicalEvidence: Graphical Evidence

Test Graphical Evidence

Description

Tests any of the allowed priors with preexisting test inputs which should yield reproducible results, as the random seed is reset during this function call

Usage

test_evidence(
  num_runs,
  prior_name = c("Wishart", "BGL", "GHS", "G_Wishart"),
  input_seed = NULL
)

Arguments

num_runs	An integer number that specifies how many runs of graphical evidence will be executed on the test parameters, as multiple runs allows us to quantify uncertainty on the estimator.
prior_name	The name of the prior for being tested with preexisting test parameters, this is one of 'Wishart', 'BGL', 'GHS', 'G_Wishart'
input_seed	An integer value that will be used as a random seed to make outputs repeatable.

Value

A list of results which contains the mean marginal likelihood, the standard deviation of the estimator, and the raw results in a vector

Examples

# Compute the marginal 10 times with random column permutations of the 
# preexisting test parameters for G-Wishart prior 
test_evidence(num_runs=3, 'G_Wishart')

graphicalEvidence documentation built on April 3, 2025, 6:05 p.m.