lik: Compute likelihood in SPDE model for ESS estimation
In templateICAr: Estimate Brain Networks and Connectivity with ICA and Empirical Priors
View source: R/VB_FCtemplateICA.R
lik R Documentation
Compute likelihood in SPDE model for ESS estimation
Description
Compute likelihood in SPDE model for ESS estimation
Usage
lik(theta, Y, G, C, ind = NULL)
Arguments
theta
Value of hyperparameters
Y
Data vector
G
SPDE G matrix
C
SPDE C matrix
ind
Indices of data locations in the mesh
Value
Log likelihood value
templateICAr documentation built on Oct. 14, 2024, 5:08 p.m.
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View source: R/VB_FCtemplateICA.R
| lik | R Documentation |
Compute likelihood in SPDE model for ESS estimation
Description
Compute likelihood in SPDE model for ESS estimation
Usage
lik(theta, Y, G, C, ind = NULL)
Arguments
theta |
Value of hyperparameters |
Y |
Data vector |
G |
SPDE G matrix |
C |
SPDE C matrix |
ind |
Indices of data locations in the mesh |
Value
Log likelihood value
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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