spde_metric_graph_result {MetricGraph}

Metric graph SPDE result extraction from 'INLA' estimation results

Description

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.