augment.bru: Augment a bru model fit with fitted values

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

Augment a bru model fit with fitted values

Description

Adds posterior mean and credible interval columns to data. The user must supply pred_formula because inlabru prediction expressions are arbitrary R and cannot be recovered from the fit object alone. Also see generics::augment().

Usage

## S3 method for class 'bru'
augment(x, data, pred_formula, n_samples = 500L, seed = NULL, ...)

Arguments

x	A fitted bru object.
data	A data frame of covariate values.
pred_formula	A formula passed to inlabru::predict().
n_samples	Number of posterior samples (default 500).
seed	Optional integer. If non-NULL, the session RNG is reset to this value before inlabru::predict() is called so that two identical calls return identical posterior summaries. NULL leaves the session RNG state unchanged (predictions then vary run-to-run because inlabru::predict() samples from the posterior).
...	Passed to inlabru::predict().

Value

data with additional columns .fitted, .fitted_low, .fitted_high, .fitted_sd.

inlabru documentation built on July 28, 2026, 9:07 a.m.