Package index • rsDCM

All functions
`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-package`	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

Reference