Bayesian Hierarchical Multi-Subject Multiscale Analysis of Functional MRI Data

Performs Bayesian hierarchical multi-subject multiscale analysis of fMRI data as described in Sanyal & Ferreira (2012) using wavelet based prior that borrows strength across subjects and returns posterior smoothed versions of the fMRI data and samples from the posterior distribution.


News

BHMSMAfMRI v1.2 (Release Date: 2019-05-11)

Changes from v1.1:

  • Changes in main author (corresponding author) email and affiliation.

  • Changes in package dependency: Dependency on the packages "fmri" and "ANALYZEfmri" were removed, and in that place, dependency on the package "oro.nifti" was added. The only function updated according with the above changes is read.fmridata.

BHMSMAfMRI v1.1 (Release Date: 2017-05-04)

Changes from v1.0:

  • Changes in main author (corresponding author) email and affiliation.

  • Changes in the function BHMSMA(): The function cmpfun from the package Compiler is incorporated within the function BHMSMA to increase computaional speed. Package Compiler is included in the list of dependencies in the DESCRIPTION file.

Reference manual

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install.packages("BHMSMAfMRI")

1.3 by Nilotpal Sanyal, 5 days ago


https://www.r-project.org


Browse source code at https://github.com/cran/BHMSMAfMRI


Authors: Nilotpal Sanyal [aut, cre] , Marco A.R. Ferreira [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on oro.nifti, wavethresh, compiler

Suggests knitr


See at CRAN