inlabru: row_kron – R documentation

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row_kron

Row-wise Kronecker products

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.

Usage

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(s)

Finn Lindgren finn.lindgren@gmail.com

inlabru

Bayesian Latent Gaussian Modelling using INLA and Extensions

v2.3.1

GPL (>= 2)

Authors

Finn Lindgren [aut, cre, cph] (<https://orcid.org/0000-0002-5833-2011>, Finn Lindgren continued development of the main code), Fabian E. Bachl [aut, cph] (Fabian Bachl wrote the main code), David L. Borchers [ctb, dtc, cph] (David Borchers wrote code for Gorilla data import and sampling, multiplot tool), Daniel Simpson [ctb, cph] (Daniel Simpson wrote the basic LGCP sampling method), Lindesay Scott-Howard [ctb, dtc, cph] (Lindesay Scott-Howard provided MRSea data import code), Seaton Andy [ctb] (Andy Seaton provided testing and bugfixes)

Initial release