#### MODEL FIT ####
inla.setOption(inla.call = 'submit') # Remote computing
# inla.setOption(inla.call = NULL) # Local computing
## Full model with selected covariates
ml$bin_msel$res$full <-
inla(formula = update(ml$bin_msel$fml,
~ BF_2.bin +
BF_3.bin +
BF_4.bin +
BF_5.bin +
Year.bin:BC.bin +
. -Year.bin),
data = inla.stack.data(ml$bin_msel$stk),
family = "binomial",
Ntrials = 1,
## Correction of the Laplace Approximation
## for Binomial data with many zeros
## http://arxiv.org/abs/1503.07307
control.inla = list(
correct = TRUE,
correct.factor = 10),
control.predictor = list(
A = inla.stack.A(ml$bin_msel$stk),
compute = TRUE, link = 1),
control.fixed = list(
expand.factor.strategy = 'inla'), # account for NAs in factor
control.compute = list(
dic = TRUE,
waic = TRUE,
cpo = TRUE,
po = TRUE,
config = TRUE)
)
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