IC {lava} | R 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))
[Package lava version 1.8.0 Index]