update_A_Chol: Update A for VB FC Bayesian brain mapping using Cholesky...

In BayesBrainMap: Estimate Brain Networks and Connectivity with Population-Derived Priors

Update A for VB FC Bayesian brain mapping using Cholesky prior for FC

Description

Update A for VB FC Bayesian brain mapping using Cholesky prior for FC

Usage

update_A_Chol(
  mu_tau2,
  mu_S,
  E_SSt,
  BOLD,
  ntime,
  nNets,
  nvox,
  prior_FC,
  final = FALSE,
  exact = FALSE,
  usePar = TRUE,
  verbose = FALSE
)

Arguments

mu_tau2, mu_S, E_SSt	Most recent estimates of posterior moments for these variables.
BOLD	(T \times V matrix) preprocessed fMRI data.
ntime, nNets, nvox	Number of timepoints, number of networks, number of locations
prior_FC	IW parameters for FC prior
final	If TRUE, return cov_A. Default: FALSE
exact	If FALSE, at intermediate steps (final = FALSE) will attempt to approximate V_k as described in the appendix of Mejia et al. 2024. Setting exact = TRUE may be helpful when using spatial ESS correction, which can lead to a lower rate of usable prior samples for the approximation.
usePar	Parallelize the computation? Default: FALSE. Can be the number of cores to use or TRUE, which will use the number available minus two.
verbose	If TRUE, display progress of algorithm. Default: FALSE.

Value

List of length two: mu_A (TxQ) and E_AtA (QxQ).

BayesBrainMap documentation built on Aug. 8, 2025, 7:25 p.m.