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arf3DS4 (version 2.5-4)

BIC: Bayesian Information Criterion

Description

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

Usage

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.

Value

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

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.

See Also

RMSEA, model, options