Model checking with non-nested levels: the folder supreme.court contains data regarding U.S. Supreme Court votes for all justices across several issues. (a) Fit an ideal-point model to these data (see...

Model checking with non-nested levels: the folder supreme.court contains data regarding U.S. Supreme Court votes for all justices across several issues.

(a) Fit an ideal-point model to these data (see Section 14.3) and then use replicated data and graphical displays to check the model fit. (This is a huge dataset, and so the model will certainly not fit in many ways. Your goal here is not simply to “reject” the model but rather to understand the ways in which it does not fit.)

(b) How might you expand the model to fix these problems?