inla.spde.make.block.A {INLA} | R Documentation

## Observation matrices for mesh models.

### Description

Constructs observation/prediction weight matrices for numerical integration schemes for regional data problems. Primarily intended for internal use by `inla.spde.make.A()`.

### Usage

    inla.spde.make.block.A(
      A,
      block,
      n.block = max(block),
      weights = NULL,
      rescale = c("none", "count", "weights", "sum")
    )

### Arguments

`A` | A precomputed observation/prediction matrix for locations that are to be joined.
`block` | Indices specifying block groupings: Entries with the same `block` value are joined into a single row in the resulting matrix, and the `block` values are the row indices.
`n.block` | The number of blocks.
`weights` | Optional scaling weights to be applied row-wise to the input `A` matrix.
`rescale` | Specifies what scaling method should be used when joining the rows of the `A` matrix as grouped by the `block` specification. `'none'`: Straight sum, no rescaling. `'count'`: Divide by the number of entries in the block. `'weights'`: Divide by the sum of the `weight` values within each block. `'sum'`: Divide by the resulting row sums.

### Author(s)

Finn Lindgren finn.lindgren@gmail.com

### See Also

`inla.spde.make.A()`

[Package INLA version 26.08.22 Index]