Clear cached fitted values for a Bayesian spatial model

Removes the lazily-cached fitted() result so that the next call recomputes from the posterior. This is only necessary if the underlying brmsfit engine has been manually mutated after fitting. A change to data_sf invalidates the entry on its own, because the cached value carries a digest of the data it was computed from (see fitted.bayesian_fit). Normal usage never requires it.

Usage

clear_fitted_cache(object)

Arguments

object

A bayesian_fit object.

Value

object, invisibly (called for side effect).

Details

The cache environment is shared by every copy of a fit, so clearing it through one copy clears it for all of them. That is harmless: the others recompute.

See also

Other package options and caches: clear_grid_cache(), create_grid_polygons_cached(), spatialkit_quiet()

Examples

# Only a bayesian_fit carries the cache; on any other fit this is a no-op.
if (requireNamespace("ranger", quietly = TRUE)) {
  library(sf)
  set.seed(1)
  pts <- st_as_sf(
    data.frame(x = 5e5 + runif(60, 0, 1000), y = 5e6 + runif(60, 0, 1000),
               a = rnorm(60)),
    coords = c("x", "y"), crs = 32632
  )
  pts$z <- 2 * pts$a + rnorm(60, 0, 0.3)
  fit <- fit_rf_model(pts, "z", "a", num_trees = 50, seed = 1)
  clear_fitted_cache(fit)
}