inla.cpo {INLA}R Documentation

Improved estimates for the CPO/PIT-values

Description

Improve the estimates of the CPO/PIT-values be recomputing the model-fit by removing data-points.

Usage

inla.cpo(
  result,
  force = FALSE,
  mc.cores = NULL,
  verbose = TRUE,
  recompute.mode = TRUE
)

Arguments

result

An object of class inla, ie a result of a call to inla()

force

If TRUE, then recompute all CPO/PIT values and not just those with result$cpo$failure > 0.

mc.cores

The number of cores to use in parallel::mclapply. If is.null(mc.cores), then check getOption("mc.cores") and inla.getOption("num.threads") in that order.

verbose

Run in verbose mode?

recompute.mode

Should be mode (and the integration points) be recomputed when a data-point is removed or not?

Value

The object returned is the same as result but the new improved estimates of the CPO/PIT values replaced.

Author(s)

Havard Rue hrue@r-inla.org

See Also

inla()

Examples


n = 10
y = rnorm(n)
r = inla(
  y ~ 1,
  data = data.frame(y),
  control.compute = list(cpo=TRUE),
  num.threads = "1:1" # Protect package testing from parallel execution
)

rr = inla.cpo(
  r,
  force=TRUE,
  mc.cores = 1 # Protect package testing from parallel execution
)
[Package INLA version 25.10.19 Index]