Description Usage Arguments Value
calls function to compute counterfactuals
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tvals |
the values of the "treatment" to compute parameters of interest for |
yvals |
the values to compute the counterfactual distribution for |
data |
the data.frame where y, t, and x are |
yname |
the name of the outcome (y) variable |
tname |
the name of the treatment (t) variable |
xnames |
the names of additional control variables to include |
method |
either "dr" or "qr" for distribution regression or quantile regression |
link |
if using distribution regression, any link function that works with the binomial family (e.g. logit (the default), probit, cloglog) |
tau |
if using quantile regression, which values of tau to estimate the conditional quantiles |
condDistobj |
optional conditional distribution object that has been previously computed |
se |
whether or not to compute standard errors using the bootstrap |
iters |
how many bootstrap iterations to use |
cl |
how many clusters to use for parallel computation of standard errors |
CFA object
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