BHMSMA                  Bayesian hierarchical multi-subject multiscale
                        analysis of functional MRI data
BHMSMAfMRI-package      Bayesian hierarchical multi-subject multiscale
                        analysis of functional MRI data
fmridata                A simulated fMRI data for 3 subjects
glmcoeff                Fit GLM to the data time-series and obtain GLM
                        coefficients along with standard error
                        estimates
hyperparamest           Get the estimates of the hyperparameters of the
                        BHMSME model along with the estimate of their
                        covariance matrix.
pikljbar                Compute the piklj bar values of the BHMSMA
                        model using Newton Cotes algorithm
postglmcoeff            Obtain the posterior mean of the GLM
                        coefficients using the posterior mean of the
                        wavelet coefficients.
postgroupcoeff          Obtain posterior group coefficients using the
                        BHMSMA methodology.
postsamples             Generate samples from the posterior
                        distribution of the GLM coefficients.
postwaveletcoeff        Obtain posterior mean and posterior median of
                        the wavelet coefficients using BHMSMA
                        methodology.
read.fmridata           Read fMRI data from fMRI image files (Adopted
                        from 'fmri').
waveletcoeff            Apply discrete wavelet transform to the GLM
                        coefficients and obtain the wavelet
                        coefficients.
