Package: BHMSMAfMRI 2.3

Nilotpal Sanyal

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

# Install 'BHMSMAfMRI' in R:
install.packages('BHMSMAfMRI', repos = c('https://cran.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:

Conda:

openblascppopenmp

2.81 score 13 scripts 222 downloads 11 exports 8 dependencies

Last updated from:6ecb1a6892. Checks:3 WARNING, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING141
linux-devel-x86_64WARNING135
source / vignettesOK211
linux-release-x86_64WARNING122
wasm-releaseOK114

Exports:BHMSMAglmcoefhyperparamestpostglmcoefpostgroupglmcoefpostmixprobpostsamplespostwaveletcoefreadfmridatasubstituteWaveletCoefwaveletcoef

Dependencies:abindbitopsMASSoro.niftiRcppRcppArmadilloRNiftiwavethresh

BHMSMAfMRI User Guide

Nilotpal Sanyal

Rendered fromBHMSMAfMRIvignette.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2022-10-02
Started: 2022-09-08