# Metric graph SPDE result extraction from 'INLA' estimation results

Source:`R/graph_spde.R`

`spde_metric_graph_result.Rd`

Extract field and parameter values and distributions for a metric graph spde effect from an 'INLA' result object.

## Usage

```
spde_metric_graph_result(
inla,
name,
metric_graph_spde,
compute.summary = TRUE,
n_samples = 5000,
n_density = 1024
)
```

## Arguments

- inla
An 'INLA' object obtained from a call to

`inla()`

.- name
A character string with the name of the 'rSPDE' effect in the model.

- metric_graph_spde
The

`inla_metric_graph_spde`

object used for the random effect in the model.- compute.summary
Should the summary be computed?

- n_samples
The number of samples to be used if parameterization is

`matern`

.- n_density
The number of equally spaced points to estimate the density.

## Value

If the model was fitted with `matern`

parameterization (the default),
it returns a list containing:

- marginals.range
Marginal densities for the range parameter.

- marginals.log.range
Marginal densities for log(range).

- marginals.sigma
Marginal densities for std. deviation.

- marginals.log.sigma
Marginal densities for log(std. deviation).

- marginals.values
Marginal densities for the field values.

- summary.log.range
Summary statistics for log(range).

- summary.log.sigma
Summary statistics for log(std. deviation).

- summary.values
Summary statistics for the field values.

If `compute.summary`

is `TRUE`

, then the list will also contain

- summary.kappa
Summary statistics for kappa.

- summary.tau
Summary statistics for tau.

If the model was fitted with the `spde`

parameterization, it returns a list containing:

- marginals.kappa
Marginal densities for kappa.

- marginals.log.kappa
Marginal densities for log(kappa).

- marginals.log.tau
Marginal densities for log(tau).

- marginals.tau
Marginal densities for tau.

- marginals.values
Marginal densities for the field values.

- summary.log.kappa
Summary statistics for log(kappa).

- summary.log.tau
Summary statistics for log(tau).

- summary.values
Summary statistics for the field values.

If `compute.summary`

is `TRUE`

, then the list will also contain

- summary.kappa
Summary statistics for kappa.

- summary.tau
Summary statistics for tau.