Package: adaptsmoFMRI 1.2

Maximilian Hughes

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) <https://www.jstor.org/stable/4626770>.

Authors:Maximilian Hughes [aut, cre, ctb]

adaptsmoFMRI_1.2.tar.gz
adaptsmoFMRI_1.2.tar.gz(r-4.5-noble)adaptsmoFMRI_1.2.tar.gz(r-4.4-noble)
adaptsmoFMRI_1.2.tgz(r-4.4-emscripten)adaptsmoFMRI_1.2.tgz(r-4.3-emscripten)
adaptsmoFMRI.pdf |adaptsmoFMRI.html
adaptsmoFMRI/json (API)

# Install 'adaptsmoFMRI' in R:
install.packages('adaptsmoFMRI', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

8 exports 0.00 score 29 dependencies 6 scripts 340 downloads

Last updated 2 years agofrom:e00863d503. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-linuxOKSep 07 2024

Exports:adaptiveGMRFadaptiveGMRF2COVARsim.adaptiveGMRFsim.adaptiveGMRF2COVARsim.fmrisim.fmri2COVARsim.weightsplotweightsplot

Dependencies:abindcodadeldirgoftestlatticeMASSMatrixMatrixModelsmcmcMCMCpackmgcvmvtnormnlmepolyclipquantregrpartSparseMspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilssurvivaltensor