Package: BHMSMAfMRI 2.2

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_2.2.tar.gz
BHMSMAfMRI_2.2.tar.gz(r-4.5-noble)BHMSMAfMRI_2.2.tar.gz(r-4.4-noble)
BHMSMAfMRI_2.2.tgz(r-4.4-emscripten)BHMSMAfMRI_2.2.tgz(r-4.3-emscripten)
BHMSMAfMRI.pdf |BHMSMAfMRI.html
BHMSMAfMRI/json (API)
NEWS

# Install 'BHMSMAfMRI' in R:
install.packages('BHMSMAfMRI', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Pkgdown: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

openblascppopenmp

2.70 score 590 downloads 11 exports 8 dependencies

Last updated 6 months agofrom:4f006c3abe. Checks:OK: 1 WARNING: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 10 2024
R-4.5-linux-x86_64WARNINGDec 10 2024

Exports:BHMSMAglmcoefhyperparamestpostglmcoefpostgroupglmcoefpostmixprobpostsamplespostwaveletcoefreadfmridatasubstituteWaveletCoefwaveletcoef

Dependencies:abindbitopsMASSoro.niftiRcppRcppArmadilloRNiftiwavethresh

BHMSMAfMRI User Guide

Rendered fromBHMSMAfMRIvignette.Rmdusingknitr::rmarkdownon Dec 10 2024.

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