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deltaIC

Summarise DIC and WAIC from lgcp objects.

Description

Calculates DIC and 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

If 'DIC', plots DIC differences; If 'WAIC', plots WAIC differences.

Value

A data frame with each row containing the model name, DIC, WAIC, deltaDIC, and deltaWAIC.

Examples

# Generate some data
input.df <- data.frame(x = cos(1:10))
input.df <- within(
  input.df,
  y <- ceiling(5 + 2 * cos(1:10) + rnorm(10, mean = 0, sd = 0.1))
)

# Fit two models
fit <- bru(y ~ x, family = "gaussian", data = input.df)
fit2 <- bru(y ~ x, family = "Poisson", data = input.df)

# Compare DIC

deltaIC(fit, fit2)
inlabru

Bayesian Latent Gaussian Modelling using INLA and Extensions

v2.3.1
GPL (>= 2)
Authors
Finn Lindgren [aut, cre, cph] (<https://orcid.org/0000-0002-5833-2011>, Finn Lindgren continued development of the main code), Fabian E. Bachl [aut, cph] (Fabian Bachl wrote the main code), David L. Borchers [ctb, dtc, cph] (David Borchers wrote code for Gorilla data import and sampling, multiplot tool), Daniel Simpson [ctb, cph] (Daniel Simpson wrote the basic LGCP sampling method), Lindesay Scott-Howard [ctb, dtc, cph] (Lindesay Scott-Howard provided MRSea data import code), Seaton Andy [ctb] (Andy Seaton provided testing and bugfixes)
Initial release

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