# NOT RUN {
data(igm)
tvals <- seq(10,12,length.out=8)
yvals <- seq(quantile(igm$lcfincome, .05), quantile(igm$lcfincome, .95), length.out=50)
## obtain counterfactual results
out <- cfa2(lcfincome ~ lfincome, tvals, yvals, igm, method1="qr",
xformla2=~HEDUC, method2="qr", iters=10, tau1=seq(.05,.95,.05),
tau2=seq(.05,.95,.05))
## get the difference between the average that adjusts for covariates and
## the one that does not
getResDiff.CFA(out$cfa1, out$cfa2, E)
# }
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