fitModel: Fit an ARF model.

In arf3DS4: Activated Region Fitting, fMRI data analysis (3D).

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

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 [e-mail] 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 - [e-mail]

See Also

model, options, fmri.data, newModel

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