Description Usage Arguments Author(s) See Also Examples
Constructs observation/prediction weight matrices for models based on
inla.mesh
and inla.mesh.1d
objects.
1 2 3 4 5 6 7 8 9 | inla.spde.make.A(mesh = NULL, loc = NULL, index = NULL,
group = NULL, repl = 1L,
n.spde = NULL, n.group = NULL, n.repl = NULL,
group.mesh = NULL,
weights = NULL,
A.loc = NULL, A.group = NULL, group.index = NULL,
block = NULL, n.block = NULL,
block.rescale = c("none", "count", "weights", "sum"),
...)
|
mesh |
An |
loc |
Observation/prediction coordinates. |
index |
For each observation/prediction value, an index into |
group |
For each observation/prediction value, an index into the group model. |
repl |
For each observation/prediction value, the replicate index. |
n.spde |
The number of basis functions in the mesh model. (Note: may be different than the number of mesh vertices/nodes/knots.) |
n.group |
The size of the group model. |
n.repl |
The total number of replicates. |
group.mesh |
An optional |
weights |
Optional scaling weights to be applied row-wise to the resulting matrix. |
A.loc |
Optional precomputed observation/prediction matrix. |
A.group |
Optional precomputed observation/prediction matrix for the group
model. |
group.index |
For each observation/prediction value, an index into the rows of
|
block |
Optional indices specifying block groupings: Entries with the same
|
n.block |
The number of blocks. |
block.rescale |
Specifies what scaling method should be used when joining entries as
grouped by a |
... |
Additional parameters. Currently unused. |
Finn Lindgren finn.lindgren@gmail.com
1 2 3 4 5 | loc = matrix(runif(10000*2)*1000,10000,2)
mesh = inla.mesh.2d(loc=loc,
cutoff=50,
max.edge=c(50,500))
A = inla.spde.make.A(mesh, loc=loc)
|
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