Package: BHMSMAfMRI 2.3

BHMSMAfMRI: Bayesian Hierarchical Multi-Subject Multiscale Analysis of Functional MRI (fMRI) Data

Package BHMSMAfMRI performs Bayesian hierarchical multi-subject multiscale analysis of fMRI data as described in Sanyal & Ferreira (2012) <doi:10.1016/j.neuroimage.2012.08.041>, or other multiscale data, using wavelet-based prior that borrows strength across subjects and provides posterior smoothed images of the effect sizes and samples from the posterior distribution.

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

BHMSMAfMRI_2.3.tar.gz
BHMSMAfMRI_2.3.zip(r-4.7)BHMSMAfMRI_2.3.zip(r-4.6)BHMSMAfMRI_2.3.zip(r-4.5)
BHMSMAfMRI_2.3.tgz(r-4.6-x86_64)BHMSMAfMRI_2.3.tgz(r-4.6-arm64)BHMSMAfMRI_2.3.tgz(r-4.5-x86_64)BHMSMAfMRI_2.3.tgz(r-4.5-arm64)
BHMSMAfMRI_2.3.tar.gz(r-4.7-arm64)BHMSMAfMRI_2.3.tar.gz(r-4.7-x86_64)BHMSMAfMRI_2.3.tar.gz(r-4.6-arm64)BHMSMAfMRI_2.3.tar.gz(r-4.6-x86_64)
BHMSMAfMRI_2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BHMSMAfMRI/json (API)

# Install 'BHMSMAfMRI' in R:

install.packages('BHMSMAfMRI', repos = c('https://nilotpalsanyal.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nilotpalsanyal/bhmsmafmri/issues

Pkgdown/docs site:https://nilotpalsanyal.github.io

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

fmridata - A simulated fMRI data for 3 subjects

On CRAN:

bayesian-hierarchical-models fmri-data-analysis multiscale-data wavelet-transform openblas cpp openmp

2.85 score 14 scripts 298 downloads 11 exports 8 dependencies

Last updated from:a1cc3423fd. Checks:11 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	152
linux-devel-x86_64	NOTE	134
source / vignettes	OK	172
linux-release-arm64	NOTE	156
linux-release-x86_64	NOTE	130
macos-release-arm64	NOTE	128
macos-release-x86_64	NOTE	211
macos-oldrel-arm64	NOTE	138
macos-oldrel-x86_64	NOTE	307
windows-devel	NOTE	130
windows-release	NOTE	118
windows-oldrel	NOTE	145
wasm-release	OK	127

Exports:BHMSMA glmcoef hyperparamest postglmcoef postgroupglmcoef postmixprob postsamples postwaveletcoef readfmridata substituteWaveletCoef waveletcoef

Dependencies:abind bitops MASS oro.nifti Rcpp RcppArmadillo RNifti wavethresh

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bayesian Hierarchical Multi-Subject Multiscale Analysis (BHMSMA) of Functional MRI Data	BHMSMAfMRI
Bayesian hierarchical multi-subject multiscale analysis (BHMSMA) of functional MRI data or other multiscale data	BHMSMA
A simulated fMRI data for 3 subjects	fmridata
Fit GLM (general linear model) to the fMRI time-series of all voxels within a single 2D brain slice	glmcoef
Obtain estimates of the hyperparameters of the BHMSMA model	hyperparamest
Obtain posterior estimate of a 2D GLM coefficients map of a regressor	postglmcoef
Obtain posterior group estimate of a 2D GLM coefficients map of a regressor	postgroupglmcoef
Obtain estimates of the mixture probabilities defining the BHMSMA posterior wavelet coefficients distributions	postmixprob
Obtain samples from the posterior distribution of a 2D GLM coefficient map.	postsamples
Obtain posterior estimates of the BHMSMA wavelet coefficients	postwaveletcoef
Import fMRI data from various fMRI image files	readfmridata
Substitute 2D wavelet transform coefficients with user-given values	substituteWaveletCoef
Apply discrete wavelet transform (DWT) to a 2D GLM coefficient map of a regressor	waveletcoef