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 `inla.spde.make.A()`.
`n.repl` | The maximum replicate index, in the sense used in `inla.spde.make.A()`.
`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

### See Also

`inla.spde.make.A()`

[Package INLA version 26.02.05 Index]