glance.graph_lme

glance

Glance accepts a <code>graph_lme</code> object and returns a
<code><a href="https://tidyr.tidyverse.org/reference/reexports.html">tidyr::tibble()</a></code> with exactly one row of model summaries.
The summaries are the square root of the estimated variance of the measurement error, residual
degrees of freedom, AIC, BIC, log-likelihood,
the type of latent model used in the fit and the total number of observations.

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

glance.graph_lme function

<dl><dt>x</dt>
<dd>A <code>graph_lme</code> object.</dd>
<dt>...</dt>
<dd>Additional arguments. Currently not used.</dd></dl>

Arguments

Glance accepts a <code>graph_lme</code> object and returns a
<code><a href='https://tidyr.tidyverse.org/reference/reexports.html'>tidyr::tibble()</a></code> with exactly one row of model summaries.
The summaries are the square root of the estimated variance of the measurement error, residual
degrees of freedom, AIC, BIC, log-likelihood,
the type of latent model used in the fit and the total number of observations.

Glance at a graph_lme object — glance.graph_lme

<dl>

<dt>x</dt>
<dd>A <code>graph_lme</code> object.</dd>


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

</dl>

glance.graph_lme: Glance at a `graph_lme` object

Description

Usage

Value

Arguments

See Also