| inla.spde.make.index {INLA} | R Documentation |
SPDE model index vector generation
Description
Generates a list of named index vectors for an SPDE model.
Usage
inla.spde.make.index(name, n.spde, n.group = 1, n.repl = 1, ...)
Arguments
name |
A character string with the base name of the effect. |
n.spde |
The size of the model, typically from |
n.group |
The size of the |
n.repl |
The number of model replicates. |
... |
Additional parameters. Currently unused. |
Value
A list of named index vectors.
name |
Indices into the vector of latent variables |
name.group |
'group' indices |
name.repl |
Indices for replicates |
Author(s)
Finn Lindgren finn.lindgren@gmail.com
See Also
inla.spde.make.A(), inla.spde2.result()
Examples
loc <- matrix(runif(100 * 2), 100, 2)
mesh <- fmesher::fm_mesh_2d_inla(loc.domain = loc, max.edge = c(0.1, 0.5))
spde <- inla.spde2.matern(mesh)
index <- inla.spde.make.index("spatial", spde$n.spde, n.repl = 2)
spatial.A <- inla.spde.make.A(mesh, loc,
index = rep(1:nrow(loc), 2),
repl = rep(1:2, each = nrow(loc))
)
y <- 10 + rnorm(100 * 2)
stack <- inla.stack(
data = list(y = y),
A = list(spatial.A),
effects = list(c(index, list(intercept = 1))),
tag = "tag"
)
data <- inla.stack.data(stack, spde = spde)
formula <- y ~ -1 + intercept + f(spatial,
model = spde,
replicate = spatial.repl
)
result <- inla(formula,
family = "gaussian", data = data,
control.predictor = list(A = inla.stack.A(stack))
)
spde.result <- inla.spde2.result(result, "spatial", spde)
[Package INLA version 25.06.13 Index]