Extract i.i.d. decomposition (influence function) from model object
Value
Matrix with rows corresponding to observations and columns to
parameters, representing the estimated influence function. Attributes
include bread (derivative of the estimating equation).
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))
#> (Intercept) x z
#> (Intercept) 1.005602e-02 -4.173875e-05 -0.01007301
#> x -4.173875e-05 6.989745e-03 0.00149390
#> z -1.007301e-02 1.493900e-03 0.02068351
