Simple question: I am familiar (though don't have tons of experience) with errors-in-variables regression. From what I have seen, this mostly is used with continuous outcomes in a linear model.
A) Is this an appropriate technique for a nonlinear model like logistic regression?
B) If so, are there standard implementations of it in a package like R or Stata?
C) If not, any recommendations for creating a code to do so in R?
I have seen this posting (w/o an answer btw if someone wants to brave it), but it doesn't seem to establish that it is in fact doable or how to do it.