rsDCM: Robust and Sparse Dynamic Causal Modelling for Functional MRI

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'.

Version:	0.1.0
Depends:	R (≥ 4.0.0)
Imports:	Matrix, expm, MASS, methods, stats, utils
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown, R.matlab, withr
Published:	2026-10-06
DOI:	10.32614/CRAN.package.rsDCM
Author:	Godfred Arhin [aut, cre, trl], Nilotpal Sanyal [aut], SPM25 Authors [ctb, cph] (Original MATLAB SPM25 (v25.01.02) implementation; see LICENSE.note)
Maintainer:	Godfred Arhin <arhin0122 at gmail.com>
BugReports:	https://github.com/Kay202/rsDCM/issues
License:	GPL-2
URL:	https://github.com/Kay202/rsDCM
NeedsCompilation:	no
Citation:	rsDCM citation info
Materials:	README, NEWS
CRAN checks:	rsDCM results

Documentation:

Reference manual:	rsDCM.html , rsDCM.pdf
Vignettes:	Introduction to rsDCM (source, R code)

Downloads:

Package source:	rsDCM_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: rsDCM_0.1.0.zip
macOS binaries:	r-release (arm64): rsDCM_0.1.0.tgz, r-oldrel (arm64): rsDCM_0.1.0.tgz, r-release (x86_64): rsDCM_0.1.0.tgz, r-oldrel (x86_64): rsDCM_0.1.0.tgz

Linking:

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