Extract i.i.d. decomposition (influence function) from model object

Extract i.i.d. decomposition (influence function) from model object

IC(x,...)

# S3 method for default
IC(x, bread, id=NULL, folds=0, maxsize=(folds>0)*1e6,...)

Arguments

x

model object

...

additional arguments

id

(optional) id/cluster variable

bread

(optional) Inverse of derivative of mean score function

folds

(optional) Calculate aggregated iid decomposition (0:=disabled)

maxsize

(optional) Data is split in groups of size up to 'maxsize' (0:=disabled)

Examples

m <- lvm(y~x+z)
distribution(m, ~y+z) <- binomial.lvm("logit")
d <- sim(m,1e3)
g <- glm(y~x+z,data=d,family=binomial)
var_ic(IC(g))
#>               (Intercept)             x            z
#> (Intercept)  1.000879e-02 -1.825991e-05 -0.010032817
#> x           -1.825991e-05  8.222422e-03  0.003055657
#> z           -1.003282e-02  3.055657e-03  0.022557940