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) <https://www.jstor.org/stable/4626770>.
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: 2022-09-24 09:09:31 UTC; gordonmax
Author: Maximilian Hughes [aut, cre, ctb]
Maintainer: Maximilian Hughes <hughesgm@me.com>
Repository: CRAN
Date/Publication: 2022-09-25 10:30:05 UTC
Built: R 4.6.0; ; 2026-04-26 03:16:10 UTC; unix
