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 25.10.19 Index]