model-class: Class "model"

In arfS4: Activated Region Fitting, fMRI data analysis.

Description

The 'model' class contains all model information (plus information from the data class slots), convergence, fit, estimates, variances, statistics, etc.

Objects from the Class

Objects can be created by calls of the form new("model", ...).

Slots

modelname:

Name of the model, defaults to the number of regions.

convergence:

Information on convergence (converged and why, or not converged and why).

minimum:

Value of the objective funtion at the minimum.

estimates:

Parameter estimates.

hessian:

Hessian matrix as returned by nlm.

varcov:

Variance/covariance matrix.

warnings:

Additional warings (if varcov is singular or not fullrank).

fit:

Bayesian Information Criterion (BIC) value of the model.

wald:

S4 object containing Wald statistics, see wald

regions:

Number of regions fitted.

startval:

Vector of starting values.

proctime:

Time for nlm to converge (or not).

valid:

Is the model valid?

name:

Name of the condition. ("character")

fullpath:

Path to the rootdirectory of the condition ("character")

datafiles:

Character vector of paths to the datafiles (in the 'data' directory')

weightfiles:

Character vector of paths to the weightfiles (in the 'weights' directory')

avgdatfile:

Path to the averaged data ("character")

avgWfile:

Path to the averaged weights ("character")

trials:

Integer indicating the number of trials

Extends

Class "data", directly.

Methods

slots:

Slots can be accessed via the standard accessor and replacment methods.

Author(s)

Wouter D. Weeda

arfS4 documentation built on May 2, 2019, 6:14 p.m.