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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 |
| Reference manual: | adaptsmoFMRI.pdf |
| Package source: | adaptsmoFMRI_1.2.tar.gz |
| Windows binaries: | r-devel: adaptsmoFMRI_1.2.zip, r-release: adaptsmoFMRI_1.2.zip, r-oldrel: adaptsmoFMRI_1.2.zip |
| macOS binaries: | r-release (arm64): adaptsmoFMRI_1.2.tgz, r-oldrel (arm64): adaptsmoFMRI_1.2.tgz, r-release (x86_64): adaptsmoFMRI_1.2.tgz, r-oldrel (x86_64): adaptsmoFMRI_1.2.tgz |
| Old sources: | adaptsmoFMRI archive |
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These binaries (installable software) and packages are in development.
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