compute_R_inv: Compute SPDE and prior precision matrices for S

In templateICAr: Estimate Brain Networks and Connectivity with ICA and Empirical Priors

Compute SPDE and prior precision matrices for S

Description

Compute SPDE matrices (F, G and GFinvG) and prior precision matrix for S

Usage

compute_R_inv(meshes, kappa, C1 = 1/(4 * pi), rm_extra = FALSE)

Arguments

meshes	NULL for spatial independence model, otherwise a list of objects of class "templateICA_mesh" containing the triangular mesh (see make_mesh) for each brain structure.
kappa	Current estimates of SPDE parameter kappa for each latent field
C1	Constant, equal to 1/(4*pi) for a 2-dimensional field with alpha=2
rm_extra	If TRUE. remove extra (non-data) vertices from the mesh for greater computational efficiency

Value

A list containing R inverse and SPDE matrices

templateICAr documentation built on Feb. 16, 2023, 8:14 p.m.