Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Marijke Welvaert, Joke Durnez, Beatrijs Moerkerke, Geert Berdoolaege, Yves Rosseel
Title: neuRosim: An R Package for Generating fMRI Data
Abstract: Studies that validate statistical methods for functional magnetic resonance imaging (fMRI) data often use simulated data to ensure that the ground truth is known. However, simulated fMRI data are almost always generated using in-house procedures because a well-accepted simulation method is lacking. In this article we describe the R package neuRosim, which is a collection of data generation functions for neuroimaging data. We will demonstrate the possibilities to generate data from simple time series to complete 4D images and the possibilities for the user to create her own data generation method.

Page views:: 6053. Submitted: 2010-10-31. Published: 2011-10-31.
Paper: neuRosim: An R Package for Generating fMRI Data     Download PDF (Downloads: 7368)
neuRosim_0.2-8.tar.gz: R source package Download (Downloads: 829; 18KB)
v44i10.R: R example code from the paper Download (Downloads: 961; 7KB)
v44i10-data.tar.bz2: Example data download instructions Download (Downloads: 1003; 95MB)

DOI: 10.18637/jss.v044.i10

This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.