Compute the first derivative of the expected information matrix.
.dInformation2(
dmu,
dOmega,
d2mu,
d2Omega,
OmegaM1,
missing.pattern,
unique.pattern,
name.pattern,
grid.3varD1,
grid.2meanD1.1varD1,
grid.2meanD2.1meanD1,
grid.2varD2.1varD1,
name.param,
leverage,
n.cluster,
weights
)
calc_dinformation
will perform the computation individually when the
argument index.Omega
is not null.