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) <>.

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>
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:, r-release:, r-oldrel:
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


Please use the canonical form to link to this page.