Bayesian Hierarchical Multi-Subject Multiscale Analysis of Functional MRI (fMRI) Data

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Documentation for package ‘BHMSMAfMRI’ version 2.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

BHMSMA	Bayesian hierarchical multi-subject multiscale analysis (BHMSMA) of functional MRI data or other multiscale data
BHMSMAfMRI	Bayesian Hierarchical Multi-Subject Multiscale Analysis (BHMSMA) of Functional MRI Data
fmridata	A simulated fMRI data for 3 subjects
glmcoef	Fit GLM (general linear model) to the fMRI time-series of all voxels within a single 2D brain slice
hyperparamest	Obtain estimates of the hyperparameters of the BHMSMA model
postglmcoef	Obtain posterior estimate of a 2D GLM coefficients map of a regressor
postgroupglmcoef	Obtain posterior group estimate of a 2D GLM coefficients map of a regressor
postmixprob	Obtain estimates of the mixture probabilities defining the BHMSMA posterior wavelet coefficients distributions
postsamples	Obtain samples from the posterior distribution of a 2D GLM coefficient map.
postwaveletcoef	Obtain posterior estimates of the BHMSMA wavelet coefficients
readfmridata	Import fMRI data from various fMRI image files
substituteWaveletCoef	Substitute 2D wavelet transform coefficients with user-given values
waveletcoef	Apply discrete wavelet transform (DWT) to a 2D GLM coefficient map of a regressor