make_Q: Make the full SPDE precision based on theta, the spde, and...
In BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies
make_Q R Documentation
Make the full SPDE precision based on theta, the spde, and the number of sessions
Description
Make the full SPDE precision based on theta, the spde, and the number of sessions
Usage
make_Q(theta, spde, n_sess)
Arguments
theta
the hyperparameter theta vector of length K * 2 + 1, where the
first K elements are the kappas, the next K elements are the phis, and the
last element (unused here) corresponds to sigma2
spde
a list containing three spde elements: Cmat, Gmat, and GtCinvG
n_sess
The integer number of sessions
Value
An SPDE prior matrix
BayesfMRI documentation built on April 4, 2025, 1:58 a.m.
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| make_Q | R Documentation |
Make the full SPDE precision based on theta, the spde, and the number of sessions
Description
Make the full SPDE precision based on theta, the spde, and the number of sessions
Usage
make_Q(theta, spde, n_sess)
Arguments
theta |
the hyperparameter theta vector of length K * 2 + 1, where the first K elements are the kappas, the next K elements are the phis, and the last element (unused here) corresponds to sigma2 |
spde |
a list containing three spde elements: Cmat, Gmat, and GtCinvG |
n_sess |
The integer number of sessions |
Value
An SPDE prior matrix
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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