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

Source: R/IC.R

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

IC(x,...)

# Default S3 method
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)  1.005602e-02 -4.173875e-05 -0.01007301
#> x           -4.173875e-05  6.989745e-03  0.00149390
#> z           -1.007301e-02  1.493900e-03  0.02068351