SPDE_from_vertex: SPDE from mesh model
In BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies
View source: R/SPDE_from_vertex.R
SPDE_from_vertex R Documentation
SPDE from mesh model
Description
SPDE from mesh model
Usage
SPDE_from_vertex(spatial, qc_mask, 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.
BayesfMRI documentation built on April 4, 2025, 1:58 a.m.
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View source: R/SPDE_from_vertex.R
| SPDE_from_vertex | R Documentation |
SPDE from mesh model
Description
SPDE from mesh model
Usage
SPDE_from_vertex(spatial, qc_mask, 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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