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Augment a bru model fit with fitted values

Source: R/tidiers.R
augment.bru.Rd

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.

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.