This function specifies a treatment variable in the sequence of treatment variables that define the controlled direct effect of interest.
set_treatment(
object,
treat,
formula = NULL,
treat_type = "categorical",
eval_vals = NULL
)An updated cde_estimator with this information about the
treatment specified.
A cde_estimator object that may or may have
previous treatment variables specified/
Name of the treatment variable (not quoted).
One-sided formula giving the covariates that are
pre-treatment to this treatment, but post-treatment to any previous
treatment. Unless overridden by the arguments to
treat_model() or outreg_model(),
this formula will be the specification used in the modeling of the
propensity scores or outcome regressions.
A string indicating the type of variable this is.
Takes either the values "categorical" or "regression" (the
latter is not yet implemented).
of
A numeric vector of values of this variable to
evaluate the controlled direct effecct. If NULL (the default),
this will be set to all observed values of the variable.
Matthew Blackwell