Module Detail Information

Name:SPM Model Estimation
Type: Module
Short URL:
Description:Model parameters can be estimated using classical (ReML - Restricted Maximum Likelihood) or Bayesian algorithms. After parameter estimation, the RESULTS button can be used to specify contrasts that will produce Statistical Parametric Maps (SPMs) or Posterior Probability Maps (PPMs) and tables of statistics.
Input Parameters:
 - SPM.mat dir
 - classical
 - bayesian
 - volume
 - slices numbers
 - cluster mask
 - signal
 - ARP
 - noise
 - logev
 - first
 - second
 - gcon name
 - gcon convec
Output Parameters:
 - outdir
File size:21.13 KB
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