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

Source: R/IC.R
IC.Rd

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

Usage

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)  0.0100840889 0.0001332637 -0.010037414
#> x            0.0001332637 0.0072057194  0.002127181
#> z           -0.0100374144 0.0021271814  0.022159399