https://kay202.r-universe.devRecent package updates in kay202R-universehttps://github.com/kay202.pnghttps://kay202.r-universe.devTue, 06 Oct 2026 17:19:37 GMTarhin0122@gmail.com (Godfred Arhin)Provides a robust and sparse method for group-level Dynamic Causal Modelling (DCM) of functional magnetic resonance imaging (fMRI) data: Student-t weighting of subjects for robustness, combined with a nonlocal product-moment (pMOM) spike-and-slab prior for sparse selection of group-level effects (<doi:10.48550/arXiv.2609.06379>). The package also provides an R implementation of single-subject DCM for fMRI using variational Laplace inversion (Friston et al., 2003 <doi:10.1016/S1053-8119(03)00202-7>), including the bilinear neural state equation and the Buxton-Friston hemodynamic response model, ported from the 'SPM25' (version 25.01.02) toolbox for 'MATLAB'.https://github.com/r-universe/kay202/actions/runs/38139334899Tue, 06 Oct 2026 17:19:37 GMTrsDCM0.1.0successhttps://kay202.r-universe.devhttps://github.com/kay202/rsdcmintroduction.Rmdintroduction.htmlIntroduction to rsDCM2026-05-13 20:46:082026-10-06 17:19:37