summary.metric_graph_spde_result

Summary for posteriors of 'rSPDE' field parameters in
their original scales.

Facilitates creation and manipulation of metric graphs, such as street or river networks. Further facilitates operations and visualizations of data on metric graphs, and the creation of a large class of random fields and stochastic partial differential equations on such spaces. These random fields can be used for simulation, prediction and inference. In particular, linear mixed effects models including random field components can be fitted to data based on computationally efficient sparse matrix representations. Interfaces to the R packages 'INLA' and 'inlabru' are also provided, which facilitate working with Bayesian statistical models on metric graphs. The main references for the methods are Bolin, Simas and Wallin (2024) <doi:10.3150/23-BEJ1647>, Bolin, Kovacs, Kumar and Simas (2023) <doi:10.1090/mcom/3929> and Bolin, Simas and Wallin (2023) <doi:10.48550/arXiv.2304.03190> and <doi:10.48550/arXiv.2304.10372>.

David Bolin

MetricGraph

Random Fields on Metric Graphs

Alexandre Simas

Jonas Wallin

summary.metric_graph_spde_result function

<dl><dt>object</dt>
<dd>A <code>rspde.result</code> object.</dd>
<dt>digits</dt>
<dd>Integer, used for number formatting with signif()</dd>
<dt>...</dt>
<dd>Currently not used.</dd></dl>

Arguments

Summary for posteriors of field parameters for an inla_rspde
model from a rspde.result object — summary.metric_graph_spde_result

<dl>

<dt>object</dt>
<dd>A <code>rspde.result</code> object.</dd>


<dt>digits</dt>
<dd>Integer, used for number formatting with signif()</dd>


<dt>...</dt>
<dd>Currently not used.</dd>

</dl>

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summary.metric_graph_spde_result: Summary for posteriors of field parameters for an `inla_rspde` model from a `rspde.result` object

Description

Usage

Value

Arguments