WAIC: Watanabe-Akaike information criteria

In oswaldosantos/INLAOutputs: Process selected outputs from the 'INLA' package

Description

Sort and display the Watanabe-Akaike information criteria of INLA models.

Usage

WAIC(..., decreasing = FALSE, rnd = 3)

Arguments

...	objects of class inla with computed WAIC.
decreasing	logical. If FALSE (default), WAIC's are displayed in increasing order.
rnd	integer indicating the number of decimal places to be used.

Details

control.compute = list(waic = TRUE) must be used within inla function.

Value

matrix with models' WAIC.

References

Gelman, Andrew, Jessica Hwang, and Aki Vehtari. "Understanding predictive information criteria for Bayesian models." Statistics and Computing 24.6 (2014): 997-1016.

Examples

data(sp)

mod1 <- inla(aan ~ f(id, model = 'bym', graph = sp.adj),
             family = 'poisson', data = spn, E = eaan,
             control.compute = list(waic = TRUE))

mod2 <- inla(aan ~ shvn + f(id, model = 'bym', graph = sp.adj),
             family = 'poisson', data = spn, E = eaan,
             control.compute = list(waic = TRUE))

WAIC(mod1, mod2)

oswaldosantos/INLAOutputs documentation built on May 24, 2019, 5 p.m.