I've been getting INLA crashes despite the fact that these models had previously run successfully. Here is the end of the verbose output and the error message. This is an aspatial version of a model that had worked fine.
formula_2a <- y ~ 0 + b0 + neg + pos +
f(id, model= "iid", hyper = list(theta = list(prior="pc.prec", param=c(0.5,0.01))))
model_2a <- inla(formula_2a,
data=inla.stack.data(stk.full.a),
family="binomial",
control.predictor=list(A =inla.stack.A(stk.full.a), compute=TRUE),
control.compute = list(dic = TRUE, waic=TRUE, config=TRUE, cpo=TRUE),
verbose=TRUE)
... Parameters for improved approximations
Number of points evaluate: 9
Step length to compute derivatives numerically: 0.000100002
Stencil to compute derivatives numerically: 5
Cutoff value to construct local neigborhood: 0.0001
Log calculations: On
Log calculated marginal for the hyperparameters: On
Integration strategy: Automatic (GRID for dim(theta)=1 and 2 and otherwise CCD)
f0 (CCD only): 1.100000
dz (GRID only): 0.750000
Adjust weights (GRID only): On
Difference in log-density limit (GRID only): 4.00
Error in inla.inlaprogram.has.crashed() :
The inla-program exited with an error. Unless you interupted it yourself, please rerun with verbose=TRUE and check the output carefully.
If this does not help, please contact the developers at <he...@r-inla.org>.
In addition: Warning message:
running command '"C:/Program Files/R/R-3.3.2/library/INLA/bin/windows/64bit/inla.exe" -b -s -v "C:/Users/pl39/AppData/Local/Temp/RtmpY7T8Os/file1f909cf4433/Model.ini"' had status 253