compute_LL_std: Compute LL for EM Bayesian brain mapping
In BayesBrainMap: Estimate Brain Networks and Connectivity with Population-Derived Priors
compute_LL_std R Documentation
Compute LL for EM Bayesian brain mapping
Description
Compute the expected log posterior for EM Standard Bayesian brain mapping
Usage
compute_LL_std(theta, prior_mean, prior_var, C_diag, BOLD, verbose)
Arguments
theta
The current parameter estimates
prior_mean, prior_var
The prior
C_diag
The C matrix
BOLD
(V \times T matrix) preprocessed fMRI data
verbose
Print LL components?
Value
The expected log posterior at the current values
BayesBrainMap documentation built on Aug. 8, 2025, 7:25 p.m.
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| compute_LL_std | R Documentation |
Compute LL for EM Bayesian brain mapping
Description
Compute the expected log posterior for EM Standard Bayesian brain mapping
Usage
compute_LL_std(theta, prior_mean, prior_var, C_diag, BOLD, verbose)
Arguments
theta |
The current parameter estimates |
prior_mean, prior_var |
The prior |
C_diag |
The C matrix |
BOLD |
( |
verbose |
Print LL components? |
Value
The expected log posterior at the current values
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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