you're right the msg is a bit confusing, I'll see if I can change that.
but here is a recent reply about the same.
yes, this change is intentional. adding the marginals of the linear
predictors take normally a lot of space, hence it is now by default
omitted even though it is computed internally. the summary statistics
are there though.
here is how to enable that if you want to.
> r <- inla(y~1,data=data.frame(y=0),
control.predictor=list(compute=TRUE))
> r$summary.linear.predictor
mean sd 0.025quant
Predictor.00000001 -7.063925267e-08 0.01584127732 -0.03109767579
0.5quant 0.975quant mode kld
Predictor.00000001 -1.77083949e-06 0.0311065814 7.726823128e-07
0.1048790746
> r$marginals.linear.predictor
NULL
> r <- inla(y~1,data=data.frame(y=0),
control.predictor=list(compute=TRUE),
control.compute=list(return.marginals.predictor=TRUE))
> r$summary.linear.predictor
mean sd 0.025quant
Predictor.00000001 -7.063925267e-08 0.01584127732 -0.03109767579
0.5quant 0.975quant mode kld
Predictor.00000001 -1.77083949e-06 0.0311065814 7.726823128e-07
0.1048790746
> r$marginals.linear.predictor
$Predictor.1
x y
[1,] -2.178148180e-01 1.411929654e-05
[2,] -2.094460017e-01 5.740707540e-04
[3,] -2.079734256e-01 6.216378795e-04
[4,] -1.969516747e-01 1.032968814e-03
[5,] -1.742518544e-01 2.669343824e-03
[6,] -1.601479432e-01 4.692449841e-03
[7,] -1.306888908e-01 1.446254770e-02
On Mon, 2021-09-06 at 19:04 -0700, 'Scott Burman' via R-inla discussion
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