To cite rsDCM in publications, please use:

Arhin G, Sanyal N (2026). rsDCM: Robust and Sparse Dynamic Causal Modelling for Functional MRI. R package version 0.2.0, https://github.com/Kay202/rsDCM.

The robust and sparse group method is described in:

Arhin G, Sanyal N (2026). “Robust and Sparse Group Dynamic Causal Modeling via Student-t Parametric Empirical Bayes and Nonlocal Priors.” doi:10.48550/arXiv.2609.06379. arXiv preprint arXiv:2609.06379.

The underlying DCM methodology is described in:

Friston K, Harrison L, Penny W (2003). “Dynamic causal modelling.” NeuroImage, 19(4), 1273–1302. doi:10.1016/S1053-8119(03)00202-7.

Corresponding BibTeX entries:

  @Manual{,
    title = {rsDCM: Robust and Sparse Dynamic Causal Modelling for
      Functional MRI},
    author = {Godfred Arhin and Nilotpal Sanyal},
    year = {2026},
    note = {R package version 0.2.0},
    url = {https://github.com/Kay202/rsDCM},
  }

  @Misc{,
    title = {Robust and Sparse Group Dynamic Causal Modeling via
      Student-t Parametric Empirical Bayes and Nonlocal Priors},
    author = {Godfred Arhin and Nilotpal Sanyal},
    year = {2026},
    note = {arXiv preprint arXiv:2609.06379},
    doi = {10.48550/arXiv.2609.06379},
  }

  @Article{,
    title = {Dynamic causal modelling},
    author = {K.J. Friston and L. Harrison and W. Penny},
    journal = {NeuroImage},
    year = {2003},
    volume = {19},
    number = {4},
    pages = {1273--1302},
    doi = {10.1016/S1053-8119(03)00202-7},
  }