inla.row.kron: Row-wise Kronecker products

In andrewzm/INLA: Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

Description

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.

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.

Value

A sparseMatrix object.

Author(s)

Finn Lindgren [e-mail]

See Also

inla.spde.make.A

andrewzm/INLA documentation built on May 10, 2019, 11:12 a.m.