# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "rsDCM" in publications use:'
type: software
license: GPL-2.0-only
title: 'rsDCM: Robust and Sparse Dynamic Causal Modelling for Functional MRI'
version: 0.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.rsDCM
abstract: '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 (<https://doi.org/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 <https://doi.org/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''.'
authors:
- family-names: Arhin
  given-names: Godfred
  email: arhin0122@gmail.com
- family-names: Sanyal
  given-names: Nilotpal
  email: nsanyal@utep.edu
preferred-citation:
  type: manual
  title: 'rsDCM: Dynamic Causal Modelling for Functional MRI'
  authors:
  - family-names: Arhin
    given-names: Godfred
    email: arhin0122@gmail.com
  - family-names: Sanyal
    given-names: Nilotpal
    email: nsanyal@utep.edu
  year: '2026'
  notes: R package version 0.1.0
  url: https://github.com/Kay202/rsDCM
repository: https://kay202.r-universe.dev
repository-code: https://github.com/Kay202/rsDCM
commit: 99e0052e9013dced58539a893b80894d2b0326e7
url: https://github.com/Kay202/rsDCM
date-released: '2026-09-24'
contact:
- family-names: Arhin
  given-names: Godfred
  email: arhin0122@gmail.com
references:
- type: generic
  title: Robust and Sparse Group Dynamic Causal Modeling via Student-t Parametric
    Empirical Bayes and Nonlocal Priors
  authors:
  - family-names: Arhin
    given-names: Godfred
  - family-names: Sanyal
    given-names: Nilotpal
  year: '2026'
  notes: arXiv preprint arXiv:2609.06379
  doi: 10.48550/arXiv.2609.06379
- type: article
  title: Dynamic causal modelling
  authors:
  - family-names: Friston
    given-names: K.J.
  - family-names: Harrison
    given-names: L.
  - family-names: Penny
    given-names: W.
  journal: NeuroImage
  year: '2003'
  volume: '19'
  issue: '4'
  doi: 10.1016/S1053-8119(03)00202-7
  start: '1273'
  end: '1302'
- type: article
  title: Neural and behavioral similarity-driven tuning curves for manipulable objects
  authors:
  - family-names: Valério
    given-names: Daniela
  - family-names: Peres
    given-names: André
  - family-names: Bergström
    given-names: Fredrik
  - family-names: Seidel
    given-names: Philipp
  - family-names: Almeida
    given-names: Jorge
  journal: Imaging Neuroscience
  year: '2025'
  volume: '3'
  doi: 10.1162/imag_a_00482
- type: article
  title: Variability in the analysis of a single neuroimaging dataset by many teams
  authors:
  - family-names: Botvinik-Nezer
    given-names: Rotem
  - family-names: Holzmeister
    given-names: Felix
  - family-names: Camerer
    given-names: Colin F.
  journal: Nature
  year: '2020'
  volume: '582'
  issue: '7810'
  doi: 10.1038/s41586-020-2314-9
  start: '84'
  end: '88'