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

In kkholst/lava: Latent Variable Models

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 Feb. 22, 2024, 4:07 p.m.