Calculate the residuals from an INLA model
# S4 method for inla residuals(object, type = c("pearson", "deviance", "working", "response", "partial"), ...)
object | an |
---|---|
type | currently only Pearson residuals are available. Other types are only listed for compatibility with the default |
... | currently ignored |
Other statistics: dispersion
,
fitted,inla-method
,
get_observed
library(INLA) set.seed(20181202) model <- inla( poisson ~ 1, family = "poisson", data = data.frame( poisson = rpois(20, lambda = 10), base = 1 ), control.predictor = list(compute = TRUE) ) residuals(model)#> [1] 0.57840962 1.47979684 -1.22441467 -0.32299422 -0.02252443 -1.22441467 #> [7] -0.62346586 -1.52489185 0.27794352 1.17933628 0.27794352 -0.02252443 #> [13] 1.17933628 1.17933628 -0.32299422 0.87887387 -0.62346586 0.27794352 #> [19] -1.22441467 -0.32299422