activations.posterior {BayesfMRI} | R Documentation |
Identify activations using joint posterior probabilities
Description
Identifies areas of activation given an activation threshold and significance level using joint posterior probabilities
Usage
activations.posterior(x, fields, session, alpha = 0.05, gamma)
Arguments
x |
Result of |
fields , session , alpha , gamma |
See |
Details
For a given latent field, identifies locations that exceed a certain activation threshold (e.g. 1 percent signal change) at a given significance level, based on the joint posterior distribution of the latent field.
Value
A list with two elements: active
, which gives a matrix of zeros
and ones of the same dimension as x$field_estimates${session}
,
and excur_result
, an object of class "excurobj"
(see INLA's excursions.inla
for
more information).
[Package BayesfMRI version 0.10.1 Index]