SPDE_from_voxel: SPDE from voxel model
In mandymejia/BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies
View source: R/SPDE_from_voxel.R
SPDE_from_voxel R Documentation
SPDE from voxel model
Description
SPDE from voxel model
Usage
SPDE_from_voxel(spatial, qc_mask = NULL, logkappa = NULL, logtau = NULL)
Arguments
spatial
See BayesGLM.
qc_mask
QC mask.
logkappa, logtau
vector of min, max and initial value for prior on log kappa and log tau. Min and max are extreme quantiles, not hard constraints.
Value
List: spde and spatial.
mandymejia/BayesfMRI documentation built on April 12, 2025, 3:44 p.m.
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View source: R/SPDE_from_voxel.R
| SPDE_from_voxel | R Documentation |
SPDE from voxel model
Description
SPDE from voxel model
Usage
SPDE_from_voxel(spatial, qc_mask = NULL, logkappa = NULL, logtau = NULL)
Arguments
spatial |
See |
qc_mask |
QC mask. |
logkappa, logtau |
vector of min, max and initial value for prior on log kappa and log tau. Min and max are extreme quantiles, not hard constraints. |
Value
List: spde and spatial.
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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