Closed ngreifer closed 5 years ago
Thanks Noah! What I've done is just pass any arguments not formally documented by summ()
to scale_mod()
or center_mod()
when scale
or center
is TRUE
. I should probably consider dropping the documentation for the n.sd
argument in summ()
and making it available in this same backdoor way.
I'd like it if
summ()
could have the argumentbinary.inputs
that is inscale_mod
so I can choose how I want to scale my binary predictors. As of now, I don't think it's possible to scale them insumm
, though it is possible inscale_mod
, which seems a little asymmetrical.