Deprecated. Please use the potential_outcomes function within a declare_model declaration.
Usage
declare_potential_outcomes(
...,
handler = potential_outcomes_handler,
label = NULL
)
potential_outcomes_internal.formula(
formula,
conditions = c(0, 1),
assignment_variables = "Z",
data,
level = NULL,
label = outcome_variable
)
potential_outcomes_internal.NULL(
formula = stop("Not provided"),
...,
data,
level = NULL
)Arguments
- ...
arguments to be captured, and later passed to the handler
- handler
a tidy-in, tidy-out function
- label
a string describing the step
- formula
a formula to calculate potential outcomes as functions of assignment variables.
- conditions
see
expand_conditions. Provide values (e.g.conditions = 1:4) for a single assignment variable. If multiple assignment variables, provide named list (e.g.conditions = list(Z1 = 0:1, Z2 = 0:1)). Defaults to 0:1 if no conditions provided.- assignment_variables
The name of the assignment variable. Generally not required as names are taken from
conditions.- data
a data.frame
- level
a character specifying a level of hierarchy for fabricate to calculate at