IC function

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

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,...)

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))
  • Maintainer: Klaus K. Holst
  • License: GPL-3
  • Last published: 2025-01-12