Adaptive Smoothing of FMRI Data R package adaptsmoFMRI version 1.2 CRAN Task View: MedicalImaging (https://CRAN.R-project.org/view=MedicalImaging) 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>. Software Depends: R(>= 4.2.0) Imports: methods, stats, spatstat, spatstat.geom, Matrix, coda, mvtnorm, MCMCpack, parallel Maximilian Hughes <hughesgm@me.com> Comprehensive R Archive Network (CRAN) Maximilian Hughes [aut, cre, ctb] GPL-2 2022-09-25 application/tgz https://CRAN.R-project.org/package=adaptsmoFMRI doi:10.32614/CRAN.package.adaptsmoFMRI