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.
Last updated 2 years ago
bayesian-hierarchical-modelsfmri-data-analysismultiscale-datawavelet-transformopenblascppopenmp
2.81 score 13 scripts 584 downloads
NLPwavelet - Bayesian Wavelet Analysis Using Non-Local Priors
Package NLPwavelet performs Bayesian wavelet analysis using individual non-local priors as described in Sanyal & Ferreira (2017) <DOI:10.1007/s13571-016-0129-3> and non-local prior mixtures as described in Sanyal (2025) <DOI:10.48550/arXiv.2501.18134>.
Last updated 6 days ago
openblascppopenmp
2.70 score
GWASinlps - Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies
Performs variable selection with data from Genome-wide association studies (GWAS), or other high-dimensional data with continuous, binary or survival outcomes, combining in an iterative framework the computational efficiency of the structured screen-and-select variable selection strategy based on some association learning and the parsimonious uncertainty quantification provided by the use of non-local priors (see Sanyal et al., 2019 <DOI:10.1093/bioinformatics/bty472>).
Last updated 2 years ago
gwashigh-dimensionalnon-local-priorvariable-selectionopenblascpp
2.70 score 3 scripts 302 downloads