Comments (5)
Hi Joe, do you mean that you want to include adjustment variables when computing logistic factors?
from lfa.
Thanks for the quick reply! Using the notation in model 2 / equation 2 (Hao et al. 2016) where L = AH I mean fixing some of the rows of H to known values while still estimating the other rows as well as A? What do you mean by adjustment variables?
from lfa.
Adjustment variables in this case are just additional information about individuals, like how you might control for things in a regression. As a concrete example, perhaps something like self-reported ancestry? I think this is the same as what you're suggesting. This is definitely doable, but the change has to enter the algorithm at multiple points. If you're not in a rush, I can work on and test this in a branch and get back to you.
from lfa.
Yep that is what I mean. That would be great! Thank you for the help.
from lfa.
I think the devel
branch should do what you want. The lfa
function now has a adjustments
argument which takes a matrix. The number of factors d
needs to include the number of adjustment variables.
I'm not merging into master
yet since I reorganized a bunch of stuff and want to make sure it all works.
Let me know if anything behaves weirdly or if this doesn't work the way you expect!
from lfa.
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