BIC: Bayesian Information Criterion

Description Usage Arguments Details Value Author(s) See Also

Description

BIC calculates the Bayesian Information Criterion (model fit) for a valid ARF model. BIC requires a valid (converged) ARF model (model).

Usage

1
BIC(arfmodel, options = loadOptions(arfmodel))

Arguments

arfmodel

A fitted (and valid) ARF model object of class model.

options

An "options" object. The options object belonging to the ARF model is loaded by default.

Details

BIC calculates the BIC value using the number of brain voxels (Set by the model@mask slot). Without constants the BIC equals:

BIC = ln(S(theta)) + p * ln(n)

where p is the number of parameters in the spatial model, n is the number of brain voxels, and S(theta) denotes the minimum of the objective function.

Value

Returns an object of class "model" with the slot model@fit[1] set to the BIC value.

Author(s)

Wouter D. Weeda - w.d.weeda@gmail.com

See Also

RMSEA, model, options


arf3DS4 documentation built on May 2, 2019, 5:16 p.m.