Closed fredriklaa closed 3 years ago
The development version can now auto-determine the model size in more cases, including this one. Working example with inlabru 2.1.15:
library(INLA)
library(inlabru)
data(Germany)
g2 <- system.file("demodata/germany.graph", package = "INLA")
source(system.file("demodata/Bym-map.R", package = "INLA"))
summary(Germany)
# BYM model (without covariates) (with explicit components instead of builtin
# INLA bym/bym2 models)
formula1 <-
Y ~ region_struct(region, model = "besag", graph = g2) +
region(region, model = "iid")
result1 <- bru(formula1,
family = "poisson", data = Germany, E = Germany$E,
options = list(verbose = TRUE)
)
predict_result1 <- predict(result1, data = Germany, ~ region_struct + region)
When I try to predict on a BYM-model from INLA, I get the following error message: Error in g(region, model = "iid") : Please provide parameter 'n' for effect 'region'
Example code (copy pasted from INLA-example pages): INLA:::inla.dynload.workaround() data(Germany) g2 = system.file("demodata/germany.graph", package="INLA") source(system.file("demodata/Bym-map.R", package="INLA")) summary(Germany)
just make a duplicated column
Germany = cbind(Germany,region.struct=Germany$region)
standard BYM model (without covariates)
formula1 = Y ~ f(region.struct,model="besag",graph=g2) + f(region,model="iid") result1 = inla(formula1,family="poisson",data=Germany,E=Germany$E,verbose = TRUE) predictresult1<-predict(result1,data=Germnay)
Best regards Fredrik