BIC: Bayesian Information Criterion
In arf3DS4: Activated Region Fitting, fMRI data analysis (3D).

Description Usage Arguments Details Value Author(s) See Also

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

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

`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.

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.

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

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

RMSEA, model, options

arf3DS4 documentation built on May 2, 2019, 8:19 a.m.