FittedExcess: Fitted values in excess

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

Description

Probability of fitted values being higher than a cutoff value.

Usage

FittedExcess(..., cutoff = 1, rnd = 3)

Arguments

...	objects of class inla with fitted values.
cutoff	value above which fitted values would be in excess.
rnd	integer indicating the number of decimal places to be used.

Value

vector if only one model with fitted values is evaluated; data.frame or list otherwise.

References

Blangiardo, Marta, and Michela Cameletti. Spatial and Spatio-temporal Bayesian Models with R-INLA. John Wiley & Sons, 2015.

Examples

data(sp)

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

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

see <- RandomEffectsExcess(mod1, mod2, cutoff = 1)
summary(see)

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