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Summarise DIC and WAIC from lgcp objects.

Source: R/deltaIC.R
deltaIC.Rd

Calculates DIC and/or WAIC differences and produces an ordered summary.

Usage

deltaIC(..., criterion = "DIC")

Arguments

...

Comma-separated objects inheriting from class inla and obtained from a run of INLA::inla(), bru() or lgcp()

criterion

character vector. If it includes 'DIC', computes DIC differences; If it contains 'WAIC', computes WAIC differences. Default: 'DIC'

Value

A data frame with each row containing the Model name, DIC and Delta.DIC, and/or WAIC and Delta.WAIC.

Examples

# \donttest{
if (bru_safe_inla()) {
  # Generate some data
  input.df <- data.frame(idx = 1:10, x = cos(1:10))
  input.df <- within(
    input.df,
    y <- rpois(10, 5 + 2 * cos(1:10) + rnorm(10, mean = 0, sd = 0.1))
  )

  # Fit two models
  fit1 <- bru(
    y ~ x,
    family = "poisson",
    data = input.df,
    options = list(control.compute = list(dic = TRUE))
  )
  fit2 <- bru(
    y ~ x + rand(idx, model = "iid"),
    family = "poisson",
    data = input.df,
    options = list(control.compute = list(dic = TRUE))
  )

  # Compare DIC

  deltaIC(fit1, fit2)
}
#>   Model      DIC   Delta.DIC
#> 1  fit1 39.92772 0.000000000
#> 2  fit2 39.93491 0.007197834
# }