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.zip(r-4.7-any)adaptsmoFMRI_1.2.zip(r-4.6-any)
adaptsmoFMRI_1.2.tar.gz(r-4.7-any)adaptsmoFMRI_1.2.tar.gz(r-4.6-any)
adaptsmoFMRI_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
adaptsmoFMRI/json (API)

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

On CRAN:

Conda:

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

1.00 score 6 scripts 373 downloads 8 exports 29 dependencies

Last updated from:e00863d503. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK147
source / vignettesOK171
linux-releaseOK141
windows-develOK86
windows-releaseOK94
wasm-releaseOK108

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

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