IC: Extract i.i.d. decomposition (influence function) from model...

View source: R/IC.R

ICR Documentation

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

Description

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))


kkholst/lava documentation built on Nov. 4, 2022, 6:21 a.m.