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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>.
Getting started
Browse package contents
Package details |
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| Author | Maximilian Hughes [aut, cre, ctb] |
| Maintainer | Maximilian Hughes <hughesgm@me.com> |
| License | GPL-2 |
| Version | 1.2 |
| Package repository | View on CRAN |
| Installation |
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