F.logwt {BayesfMRI} | R Documentation |
F logwt
Description
Internal function used in joint approach to group-analysis for combining across models
Usage
F.logwt(theta, spde, mu_theta, Q_theta, nN)
Arguments
theta |
A vector of hyperparameter values at which to compute the posterior log density |
spde |
A SPDE object from inla.spde2.matern() function, determines prior precision matrix |
mu_theta |
Posterior mean from combined subject-level models. |
Q_theta |
Posterior precision matrix from combined subject-level models. |
nN |
Number of subjects |
Value
The prior density
INLA Requirement
This function requires the INLA
package, which is not a CRAN package.
See https://www.r-inla.org/download-install for easy installation instructions.
[Package BayesfMRI version 0.10.1 Index]