mandymejia/BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies

Performs a spatial Bayesian general linear model (GLM) for task functional magnetic resonance imaging (fMRI) data on the cortical surface. Additional models include group analysis and inference to detect thresholded areas of activation. Includes direct support for the 'CIFTI' neuroimaging file format. For more information see A. F. Mejia, Y. R. Yue, D. Bolin, F. Lindgren, M. A. Lindquist (2020) <doi:10.1080/01621459.2019.1611582> and D. Spencer, Y. R. Yue, D. Bolin, S. Ryan, A. F. Mejia (2022) <doi:10.1016/j.neuroimage.2022.118908>.

Getting started

Package details

MaintainerAmanda Mejia <mandy.mejia@gmail.com>
LicenseGPL-3
Version0.10.1
URL https://github.com/mandymejia/BayesfMRI
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("mandymejia/BayesfMRI")
mandymejia/BayesfMRI documentation built on April 12, 2025, 3:44 p.m.