Crandore Hub

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>.

Versions across snapshots

VersionRepositoryFileSize
0.11.0 rolling linux/jammy R-4.5 BayesfMRI_0.11.0.tar.gz 718.2 KiB
0.11.0 rolling linux/noble R-4.5 BayesfMRI_0.11.0.tar.gz 725.9 KiB
0.11.0 rolling source/ R- BayesfMRI_0.11.0.tar.gz 199.5 KiB
0.11.0 latest linux/jammy R-4.5 BayesfMRI_0.11.0.tar.gz 718.2 KiB
0.11.0 latest linux/noble R-4.5 BayesfMRI_0.11.0.tar.gz 725.9 KiB
0.11.0 latest source/ R- BayesfMRI_0.11.0.tar.gz 199.5 KiB
0.11.0 2026-04-26 source/ R- BayesfMRI_0.11.0.tar.gz 199.5 KiB
0.11.0 2026-04-23 source/ R- BayesfMRI_0.11.0.tar.gz 199.5 KiB
0.11.0 2026-04-09 windows/windows R-4.5 BayesfMRI_0.11.0.zip 1.0 MiB
0.10.1 2025-04-20 source/ R- BayesfMRI_0.10.1.tar.gz 198.4 KiB

Dependencies (latest)

Imports

LinkingTo

Suggests