adaptsmoFMRI-package {adaptsmoFMRI}R Documentation

Adaptive Smoothing of FMRI Data


Adaptive smoothing functions for estimating the blood oxygenation level dependent (BOLD) effect by using functional Magnetic Resonance Imaging (fMRI) data, based on adaptive Gauss Markov random fields, for real as well as simulated data. The implemented models make use of efficient Markov Chain Monte Carlo methods.


Package: adaptsmoFMRI
Type: Package
Version: 1.1
Date: 2022-08-16
License: GPL-2


Maximilian Hughes Maintainer:


A. Brezger, L. Fahrmeir, A. Hennerfeind Adaptive Gaussian Markov random fields with applications in human brain mapping, Applied Statistics, 56, Part 3, pp. 327-345, 2007

V. J. Schmid, A. Thornton, B. Witcher Working with the DICOM and NIfTI Data Standards in R, Journal of Statistical Software, Volume 44, Issue 6. 2011

[Package adaptsmoFMRI version 1.2 Index]