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,...)
x
: model object...
: additional argumentsid
: (optional) id/cluster variablebread
: (optional) Inverse of derivative of mean score functionfolds
: (optional) Calculate aggregated iid decomposition (0:=disabled)maxsize
: (optional) Data is split in groups of size up to 'maxsize' (0:=disabled)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))