Package: adaptsmoFMRI Type: Package Title: Adaptive Smoothing of FMRI Data Version: 1.2 Date: 2022-09-24 Authors@R: c(person(given = "Maximilian", family = "Hughes", role = c("aut", "cre", "ctb"), email = "hughesgm@me.com")) Description: 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) . License: GPL-2 Depends: R(>= 4.2.0) Collate: 'adaptive-gmrf-2covar.R' 'adaptive-gmrf.R' 'plot-weights-real.R' 'plot-weights-sim.R' 'sim-adaptive-gmrf-2covar.R' 'sim-adaptive-gmrf.R' 'sim-fmri-2covar.R' 'sim-fmri.R' Imports: methods, stats, spatstat, spatstat.geom, Matrix, coda, mvtnorm, MCMCpack, parallel RoxygenNote: 7.2.1 NeedsCompilation: no Packaged: 2026-09-23 09:16:21 UTC; root Author: Maximilian Hughes [aut, cre, ctb] Maintainer: Maximilian Hughes Repository: https://cran.r-universe.dev Date/Publication: 2022-09-25 09:30:05 UTC RemoteUrl: https://github.com/cran/adaptsmoFMRI RemoteRef: HEAD RemoteSha: e00863d50369dd3d3789aea6777df27579700614