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

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

## Documentation for package ‘BHMSMAfMRI’ version 2.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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