Row-wise Kronecker products — fm_row

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.

Usage

fm_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::inla.spde.make.A
n.repl: The maximum replicate index, in the sense used in INLA::inla.spde.make.A().
weights: Optional scaling weights to be applied row-wise to the resulting matrix.

Value

A Matrix::sparseMatrix object.

Author

Finn Lindgren finn.lindgren@gmail.com

Examples

fm_row_kron(rbind(c(1, 1, 0), c(0, 1, 1)), rbind(c(1, 2), c(3, 4)))
#> 2 x 6 sparse Matrix of class "dgCMatrix"
#>                 
#> [1,] 1 2 1 2 . .
#> [2,] . . 3 4 3 4