adaptsmoFMRI: 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. Implemented methods
are based on the research developed by A. Brezger, L. Fahrmeir, A.
Hennerfeind (2007) <https://www.jstor.org/stable/4626770>.
| Version: |
1.2 |
| Depends: |
R (≥ 4.2.0) |
| Imports: |
methods, stats, spatstat, spatstat.geom, Matrix, coda, mvtnorm, MCMCpack, parallel |
| Published: |
2022-09-25 |
| DOI: |
10.32614/CRAN.package.adaptsmoFMRI |
| Author: |
Maximilian Hughes [aut, cre, ctb] |
| Maintainer: |
Maximilian Hughes <hughesgm at me.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| In views: |
MedicalImaging |
| CRAN checks: |
adaptsmoFMRI results |
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