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Extract spatial range and variance from a fitted spatial model

Source: R/diagnostics_generic.R
spatial_range.Rd

Summarises the posterior of spatial hyperparameters. For sampler-tier fits this reads the raw hyperparameter draws; for a nested-Laplace spatial fit it summarises the outer hyperparameter grid. Works with ICAR, BYM2, GP (NNGP), CAR, SPDE, and SVC spatial types.

Usage

spatial_range(object, probs = c(0.025, 0.975))

Arguments

object

A tulpa_fit object fitted with a spatial component.

probs

Quantile probabilities for the summary (default 0.025, 0.975).

Value

A data.frame with rows for each spatial hyperparameter and columns mean, sd, and one quantile column per entry of probs (named from the probability, e.g. q2.5, q97.5 for the defaults).