GLMEM_fixptseparate: Fixed point function for the joint BayesGLM EM update...
In mandymejia/BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies
GLMEM_fixptseparate R Documentation
Fixed point function for the joint BayesGLM EM update algorithm
Description
Fixed point function for the joint BayesGLM EM update algorithm
Usage
GLMEM_fixptseparate(theta, spde, model_data, Psi, K, A, cl, Ns = 50)
Arguments
theta
a list containing kappa2, phi, and sigma2, in that order
spde
the spde object
model_data
the model_data object containing y and X
Psi
a conversion matrix (N by V) (or N by n)
K
number of covariates
A
The value for Matrix::crossprod(X%*%Psi) (saves time on computation)
cl
parallelization cluster
Ns
The number of samples used to approximate traces using the Hutchinson
estimator. If set to 0, the exact trace is found.
Value
a vector with the same length as theta, the EM updates
mandymejia/BayesfMRI documentation built on April 12, 2025, 3:44 p.m.
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| GLMEM_fixptseparate | R Documentation |
Fixed point function for the joint BayesGLM EM update algorithm
Description
Fixed point function for the joint BayesGLM EM update algorithm
Usage
GLMEM_fixptseparate(theta, spde, model_data, Psi, K, A, cl, Ns = 50)
Arguments
theta |
a list containing kappa2, phi, and sigma2, in that order |
spde |
the spde object |
model_data |
the model_data object containing |
Psi |
a conversion matrix (N by V) (or N by n) |
K |
number of covariates |
A |
The value for Matrix::crossprod(X%*%Psi) (saves time on computation) |
cl |
parallelization cluster |
Ns |
The number of samples used to approximate traces using the Hutchinson estimator. If set to 0, the exact trace is found. |
Value
a vector with the same length as theta, the EM updates
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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