inla.agaussian {INLA} | R Documentation

## Aggregate Gaussian into an equivalent observation

### Description

Aggregate Gaussians observed with the same mean and precision, into an equivalent triplet, for use with `family="agaussian"`

### Usage

    inla.agaussian(y, s = NULL)

### Arguments

`y` | Repeated observations. If `y` is a matrix, then each row represents repeated observations. if `y` is a list, then each element of the list is a vector of repeated observations. If `y` is a vector, then the whole vector represents repeated observations. The optional scaling `s`, must have the same format as `y`, ie `matrix` or `vector`. `NA`'s in `y` (and `s`) are removed and not used or counted. If `s` is given, then the `NA`-pattern in `y` and `s` must be the same.
`s` | Optional fixed scaling of the precisions. Must be in the same format as `y`, and have the same `NA`-pattern. See the documentation for details.

### Value

The output is a `inla.mdata`-object ready for use with `family="agaussian"`. See the example in the documentation.

### Author(s)

Havard Rue hrue@r-inla.org

### Examples

     A = matrix(1:25,5,5)
     inla.agaussian(A)

     A[1,-1] = NA
     A[2,-(2:3)] = NA
     inla.agaussian(A)

[Package INLA version 26.08.22 Index]