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adaptsmoFMRI (version 1.2)

Adaptive Smoothing of FMRI Data

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) .

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Version

Install

install.packages('adaptsmoFMRI')

Monthly Downloads

221

Version

1.2

License

GPL-2

Maintainer

Max Hughes

Last Published

September 25th, 2022

Functions in adaptsmoFMRI (1.2)

weightsplot

Plot Function for Weights (Real Data)
sim.fmri2COVAR

Simulate FMRI Data
adaptiveGMRF

Adaptive GMRF Model (Real Data)
data_simfmri

Simulated FMRI Data Set (for one covariate)
sim.weightsplot

Plot Function for Weights (Simulated Data)
sim.fmri

Simulate FMRI Data
data_simfmri2COVAR

Simulated FMRI Data Set (for two covariates)
adaptsmoFMRI-package

Adaptive Smoothing of FMRI Data
sim.adaptiveGMRF

Adaptive GMRF Model for Simulated Data
sim.adaptiveGMRF2COVAR

Adaptive GMRF Model for Simulated Data
adaptiveGMRF2COVAR

Adaptive GMRF Model (Real Data)