row_kron

<a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated"><img src="figures/lifecycle-deprecated.svg?package=inlabru&version=2.11.1" alt="[Deprecated]"></a> in favour of <code>fmesher::fm_row_kron()</code>.
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.

internal

Facilitates spatial and general latent Gaussian modeling using
integrated nested Laplace approximation via the INLA package (<https://www.r-inla.org>).
Additionally, extends the GAM-like model class to more general nonlinear predictor
expressions, and implements a log Gaussian Cox process likelihood for
modeling univariate and spatial point processes based on ecological survey data.
Model components are specified with general inputs and mapping methods to the
latent variables, and the predictors are specified via general R expressions,
with separate expressions for each observation likelihood model in
multi-likelihood models. A prediction method based on fast Monte Carlo sampling
allows posterior prediction of general expressions of the latent variables.
Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019)
<doi:10.1111/2041-210X.13168>.

Finn Lindgren

inlabru

Bayesian Latent Gaussian Modelling using INLA and Extensions

Fabian E. Bachl

David L. Borchers

Daniel Simpson

Lindesay Scott-Howard

Seaton Andy

Suen Man Ho

Roudier Pierre

Meehan Tim

Reddy Peddinenikalva Niharika

Perepolkin Dmytro

row_kron function

<dl><dt>M1</dt>
<dd>A matrix that can be transformed into a sparse Matrix.</dd>
<dt>M2</dt>
<dd>A matrix that can be transformed into a sparse Matrix.</dd>
<dt>repl</dt>
<dd>An optional index vector. For each entry, specifies which
replicate the row belongs to, in the sense used in
<code>INLA::inla.spde.make.A</code></dd>
<dt>n.repl</dt>
<dd>The maximum replicate index, in the sense used in
<code>INLA::inla.spde.make.A()</code>.</dd>
<dt>weights</dt>
<dd>Optional scaling weights to be applied row-wise to the
resulting matrix.</dd></dl>

Arguments

Finn Lindgren <a href="/link/finn.lindgren%40gmail.com?package=inlabru&version=2.11.1" data-mini-rdoc="inlabru::finn.lindgren@gmail.com">finn.lindgren@gmail.com</a>

Author

<a href='https://lifecycle.r-lib.org/articles/stages.html#deprecated'><img src='figures/lifecycle-deprecated.svg' alt='[Deprecated]' /></a> in favour of <code>fmesher::fm_row_kron()</code>.
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.

Row-wise Kronecker products — row_kron

<dl>

<dt>M1</dt>
<dd>A matrix that can be transformed into a sparse Matrix.</dd>


<dt>M2</dt>
<dd>A matrix that can be transformed into a sparse Matrix.</dd>


<dt>repl</dt>
<dd>An optional index vector. For each entry, specifies which
replicate the row belongs to, in the sense used in
<code>INLA::inla.spde.make.A</code></dd>


<dt>n.repl</dt>
<dd>The maximum replicate index, in the sense used in
<code>INLA::inla.spde.make.A()</code>.</dd>


<dt>weights</dt>
<dd>Optional scaling weights to be applied row-wise to the
resulting matrix.</dd>

</dl>

Finn Lindgren <a href='mailto:finn.lindgren@gmail.com'>finn.lindgren@gmail.com</a>

row_kron: Row-wise Kronecker products

Description

Usage

Value

Arguments

Author