pw_smooth: Smooth AR coefficients and white noise variance

In mandymejia/BayesGLMfMRI: Spatial Bayesian Methods for Task Functional MRI Studies

Smooth AR coefficients and white noise variance

Description

Smooth AR coefficients and white noise variance

Usage

pw_smooth(spatial, AR, var, FWHM = 5)

Arguments

spatial	See fit_bayesglm internal code.
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.

Value

Smoothed AR coefficients and residual variance at every vertex

mandymejia/BayesGLMfMRI documentation built on April 12, 2025, 3:41 p.m.