| inla.row.kron {INLA} | R Documentation |
Row-wise Kronecker products
Description
in favour of
fmesher::fm_row_kron(), which
is typically an order of magnitude faster than the old inla.row.kron() implementation.
inla.row.kron() now calls fm_row_kron() internally instead.
Usage
inla.row.kron(M1, M2, repl = NULL, n.repl = NULL, weights = NULL)
Arguments
M1 |
A matrix that can be transformed into a sparse Matrix. |
M2 |
A matrix that can be transformed into a sparse Matrix. |
repl |
An optional index vector. For each entry, specifies which
replicate the row belongs to, in the sense used in
|
n.repl |
The maximum replicate index, in the sense used in
|
weights |
Optional scaling weights to be applied row-wise to the resulting matrix. |
Details
Takes two Matrices and computes the row-wise Kronecker product. Optionally
applies row-wise weights and/or applies an additional 0/1 row-wise Kronecker
matrix product, as needed by inla.spde.make.A().
Value
A sparseMatrix object.
Author(s)
Finn Lindgren finn.lindgren@gmail.com