aggregate.gaussian {INLA} | R Documentation |
Aggregate Gaussian into an equivalent observation
Description
Aggreagate Gaussians observerd with the same mean and precision,
into an eqv 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 |
Optinonal 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 21.11.22
Index]