Description Usage Arguments Value Examples
the main function for running "local" distribution regressions. This function runs a local regression that is local for a single (scalar) continuous treatment variable. It also allows for other variables but it does not smooth over these variables.
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formla |
y ~ t , t must be a single continuous variable |
xformla |
~x, x are other (non-smoothed) variables included in the model |
data |
the dataset |
yvals |
all the values of y to compute F(y|t,x) |
tvals |
the values of the continuous treatment to comput F(y|t,x) |
link |
which link function to use, it can be anything accepted by glm (for example, logit, probit, or cloglog), the default is "logit" |
cl |
the number of clusters to use, default is 1 |
a list of llDR objects that are indexed by the values in yvals and tvals
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