Hi,
There are some ways to do this. For example using the 'generic0'
model with the set of needed constraints passed into the argument
extraconstr (see cwb-example.R for an example available into the
r/ directory at http://www.leg.ufpr.br/~elias/cursos/br2015/
There is some work in the inla.knmodels() function. Setting
type='4' adds a spacetime type IV interaction model.
However, for spacetime varying covariate effect, x as second
argument in your f() call. The need of spatial and temporal
constraints is actually only in case you also have 'x'
coefficients varying over time plus 'x' coefficients varying over
time as well. So you can follow the example in the link above and
add 'x' as second argument. The extraconstr will remains the same
as long as you have the time and spatial varying.
Elias
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