Robust and Sparse Dynamic Causal Modelling for Functional MRI

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Documentation for package ‘rsDCM’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

rsDCM-package	rsDCM: Robust and Sparse Dynamic Causal Modelling for Functional MRI
dcm_estimate	Estimate a Dynamic Causal Model for fMRI
dcm_evidence	Approximate model evidence (AIC, BIC)
dcm_fmri_priors	Construct fMRI DCM priors
dcm_fx_fmri	fMRI neural and hemodynamic state equation
dcm_gx_fmri	fMRI BOLD observation equation
dcm_int	Integrate a bilinear DCM
dcm_nlsi_GN	Variational Laplace inversion of a non-linear system
dcm_peb_of_pebs	Run a third-level PEB-of-PEBs over a directory of subject PEBs
dcm_peb_prepare	Prepare a PEB (second- or third-level) model
dcm_peb_run	Fit a prepared PEB model by variational Laplace
narps_dcm	Subject-level DCM summaries for a group analysis (NARPS)
rsDCM	rsDCM: Robust and Sparse Dynamic Causal Modelling for Functional MRI
rsdcm	Robust and sparse group-level DCM (Student-t + pMOM)
rsdcm_fit	Robust sparse group DCM from a list of fitted DCMs
rsdcm_options	Get or set rsDCM runtime options
toy_dcm	Example DCM for fMRI inversion