fitModel: Fit an ARF model.

Description Usage Arguments Details Value Author(s) See Also

Description

fitModel performs the fit-procedure of an ARF model to the data. It uses the values in the options object to modify the behavior of the fit-procedure. By default optim (L-BFGS-B) is used for minimization. fitModel is a wrapper for fitModelOptim and fitSimpleModelOptim

Usage

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fitModel(arfmodel, options = loadOptions(arfmodel), 
 dat = readData(.model.avgdatfile(arfmodel)), 
 weights = readData(.model.avgWfile(arfmodel)), 
 printlevel = 0, try.silen = T)
fitModelOptim(arfmodel, options = loadOptions(arfmodel), 
 dat = readData(.model.avgdatfile(arfmodel)), 
 weights = readData(.model.avgWfile(arfmodel)), 
 printlevel = 0, try.silen = T)
fitSimpleModelOptim(arfmodel, options = loadOptions(arfmodel), 
 dat = readData(.model.avgdatfile(arfmodel)), 
 weights = readData(.model.avgWfile(arfmodel)), 
 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 (with fixed width parameters).

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.)

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

fitModel calls one of the following functions based on the "options" object: fitModelOptim, fitSimpleModelOptim. These functions can also be called directly. Models can be created by calling newModel.

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


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