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. |