BayesfMRI (version 0.10.1)

activations.classical: Identification of areas of activation in a General Linear Model using classical methods

Description

Identification of areas of activation in a General Linear Model using classical methods

Usage

activations.classical(
  x,
  gamma = 0,
  alpha = 0.05,
  correction = c("FWER", "FDR", "none"),
  fields,
  session,
  mesh = NULL
)

Value

A matrix corresponding to the 0-1 activation status for the model coefficients.

Arguments

x

A BayesGLM object

gamma, alpha, correction, fields, session

See activations.

mesh

(Optional) An "inla.mesh" object (see make_mesh for surface data). Only necessary for computing surface areas of identified activations.