Package: BHMSMAfMRI 2.1
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:
BHMSMAfMRI_2.1.tar.gz
BHMSMAfMRI_2.1.zip(r-4.5)BHMSMAfMRI_2.1.zip(r-4.4)BHMSMAfMRI_2.1.zip(r-4.3)
BHMSMAfMRI_2.1.tgz(r-4.4-x86_64)BHMSMAfMRI_2.1.tgz(r-4.4-arm64)BHMSMAfMRI_2.1.tgz(r-4.3-x86_64)BHMSMAfMRI_2.1.tgz(r-4.3-arm64)
BHMSMAfMRI_2.1.tar.gz(r-4.5-noble)BHMSMAfMRI_2.1.tar.gz(r-4.4-noble)
BHMSMAfMRI_2.1.tgz(r-4.4-emscripten)BHMSMAfMRI_2.1.tgz(r-4.3-emscripten)
BHMSMAfMRI.pdf |BHMSMAfMRI.html✨
BHMSMAfMRI/json (API)
NEWS
| # 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
- fmridata - A simulated fMRI data for 3 subjects
bayesian-hierarchical-modelsfmri-data-analysismultiscale-datawavelet-transform
Last updated 2 years agofrom:23a00ef94f. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 20 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 20 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 20 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 20 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 20 2024 |
| R-4.3-win-x86_64 | NOTE | Nov 20 2024 |
| R-4.3-mac-x86_64 | NOTE | Nov 20 2024 |
| R-4.3-mac-aarch64 | NOTE | Nov 20 2024 |
Exports:BHMSMAglmcoefhyperparamestpostglmcoefpostgroupglmcoefpostmixprobpostsamplespostwaveletcoefreadfmridatasubstituteWaveletCoefwaveletcoef
Dependencies:abindbitopsMASSoro.niftiRcppRcppArmadilloRNiftiwavethresh
