Process an ARF model.

Description

Run an entire processing pipeline for a given ARF model (minimization and statistics).

Usage

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processModel(arfmodel, options = loadOptions(arfmodel), 
 dat = readData(.model.avgdatfile(arfmodel)), 
 weights = readData(.model.avgWfile(arfmodel)), 
 pr = T, printlevel = 0, try.silen = T)

Arguments

arfmodel

An arf model object (class model).

options

An "options" object (class options).The options@start.method slot is used to determine which method to use for starting values. The arfmodel@modeltype slot is used to determine whether to fit a full Gaussian model (default) or a simple Gaussian model.

dat

An object of class "fmri.data" (fmri.data containing the averaged beta-values.)

weights

An object of class "fmri.data" (fmri.data containing the averaged weights of the beta-values.)

pr

Print output to the screen, or perform silently.

printlevel

Number indicating the level of output of the minimization procedure.

try.silen

Should errors be printed when they occur or only passed to the @warnings slot.

Details

processModel calls fitModel, varcov and wald. The model is automatically saved.

Value

Returns an object of class "model" with the appropriate slots.

Author(s)

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

See Also

model, options, fmri.data, newModel, fitModel, varcov, wald

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