Description Usage Arguments Value Examples
test if a counterfactual distribution is equal to its average for all values of the treatment
1 |
cfaobj |
a CFA object |
fun |
which function to use |
allt |
all values of t in the dataset |
se |
whether or not to compute standard errors |
... |
additional parameters for the function fun |
CFASE object
1 2 3 4 5 6 7 8 9 10 11 12 | ## 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))
test.CFA(out$cfa1, Var, igm$lfincome)
## End(Not run)
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