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BayesDLMfMRI
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Download and install BayesDLMfMRI package within the R console
Install from CRAN:
install.packages("BayesDLMfMRI")
Install from Github:
library("remotes")
install_github("cran/BayesDLMfMRI")
Install by package version:
library("remotes")
install_version("BayesDLMfMRI", "0.0.3")
Attach the package and use:
library("BayesDLMfMRI")
Maintained by
Carlos Pérez
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-25
Latest Update: 2023-09-09
Description:
The 'BayesDLMfMRI' package performs statistical analysis for task-based functional magnetic resonance imaging (fMRI) data at both individual and group levels. The analysis to detect brain activation at the individual level is based on modeling the fMRI signal using Matrix-Variate Dynamic Linear Models (MDLM). The analysis for the group stage is based on posterior distributions of the state parameter obtained from the modeling at the individual level. In this way, this package offers several R functions with different algorithms to perform inference on the state parameter to assess brain activation for both individual and group stages. Those functions allow for parallel computation when the analysis is performed for the entire brain as well as analysis at specific voxels when it is required.
References: Cardona-Jim
How to cite:
Carlos Pérez (2023). BayesDLMfMRI: Statistical Analysis for Task-Based Fmri Data. R package version 0.0.3, https://cran.r-project.org/web/packages/BayesDLMfMRI. Accessed 22 Dec. 2024.
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Complete documentation for BayesDLMfMRI
Functions, R codes and Examples using
the BayesDLMfMRI R package
Some associated functions: BayesDLMfMRI . Covariates . GroupSingleVoxelFETS . GroupSingleVoxelFFBS . GroupSingleVoxelFSTS . SingleVoxelFETS . SingleVoxelFFBS . SingleVoxelFSTS . dot-check_ffdgroup . dot-distanceNeighbors . dot-ffdGroupVoxelFETS . dot-ffdGroupVoxelFFBS . dot-ffdGroupVoxelFSTS . dot-ffdSingleVoxelFETS . dot-ffdSingleVoxelFSTS . dot-ffdsingleVoxelFFBS . dot-get_n_cores . dot-validate_input . ffd . ffdEvidenceFETS . ffdEvidenceFFBS . ffdEvidenceFSTS . ffdGroupEvidenceFETS . ffdGroupEvidenceFFBS . ffdGroupEvidenceFSTS . get_example_fMRI_data . get_example_fMRI_data_group . mask . plot.fMRI_single_evidence . print.fMRI_group_evidence . print.fMRI_group_single_voxel . print.fMRI_single_evidence . print.fMRI_single_voxel . summary.fMRI_group_evidence . summary.fMRI_single_evidence .
Some associated R codes: BayesDLMfMRI.R . GroupSingleVoxelFETS.R . GroupSingleVoxelFFBS.R . GroupSingleVoxelFSTS.R . RcppExports.R . SingleVoxelFETS.R . SingleVoxelFFBS.R . SingleVoxelFSTS.R . distanceNeighbors.R . ffdEvidenceFETS.R . ffdEvidenceFFBS.R . ffdEvidenceFSTS.R . ffdGroupEvidenceFETS.R . ffdGroupEvidenceFFBS.R . ffdGroupEvidenceFSTS.R . ffdGroupVoxelFETS.R . ffdGroupVoxelFFBS.R . ffdGroupVoxelFSTS.R . ffdSingleVoxelFETS.R . ffdSingleVoxelFFBS.R . ffdSingleVoxelFSTS.R . load_data.R . validate_input.R . Full BayesDLMfMRI package functions and examples
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