BayesfMRI (version 0.3.11)

pw_smooth: Smooth AR coefficients and white noise variance

Description

Smooth AR coefficients and white noise variance

Usage

pw_smooth(vertices, faces, mask = NULL, AR, var, FWHM = 5)

Value

Smoothed AR coefficients and residual variance at every vertex

Arguments

vertices

A \(V \times 3\) matrix, where each row contains the Euclidean coordinates at which a given vertex in the mesh is located. \(V\) is the number of vertices in the mesh

faces

An \(F \times 3\) matrix, where each row contains the vertex indices for a given triangular face in the mesh. \(F\) is the number of faces in the mesh.

mask

A logical vector indicating, for each vertex, whether to include it in smoothing. NULL (default) will use a vector of all TRUE, meaning that no vertex is masked out; all are used for smoothing.

AR

A Vxp matrix of estimated AR coefficients, where V is the number of vertices and p is the AR model order

var

A vector length V containing the white noise variance estimates from the AR model

FWHM

FWHM parameter for smoothing. Remember that \(\sigma = \frac{FWHM}{2*sqrt(2*log(2)}\). Set to 0 or NULL to not do any smoothing. Default: 5.#'