BHMSMA |
Bayesian hierarchical multi-subject multiscale analysis of functional MRI data |
BHMSMAfMRI |
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. |
waveletcoeff |
Apply discrete wavelet transform to the GLM coefficients and obtain the wavelet coefficients. |