Generics for inspecting and setting the metadata carried by causal weight vectors.
is_causal_wt()tests whether an object is a causal weight vector.estimand()returns the causal estimand the weights target, such as"ate"or"att".estimand<-()sets the causal estimand.
Value
is_causal_wt() returns a single logical value. estimand() returns the
estimand, typically a character string, or NULL when none is recorded.
estimand<-() returns x with the estimand updated.
Details
This package defines the generics and the abstract weight class they are
written against. It supplies a method for each generic on causal_wts, so a
concrete class built with new_causal_wts() inherits all three. The concrete
classes themselves live in the packages that own them, such as propensity,
as do methods for any object that is not a causal_wts vector.
is_causal_wt() defaults to FALSE so that any object that is not a
recognized causal weight vector reports as much; estimand() and
estimand<-() have no meaningful default and signal an error when no method
is registered for the object.
See also
new_causal_wts() for the class these generics have methods for,
and the propensity package for concrete weight classes.
Examples
wts <- new_causal_wts(
c(1.2, 0.8, 1.5),
subclass = "cg_toy_wts",
estimand = "ate"
)
is_causal_wt(wts)
#> [1] TRUE
estimand(wts)
#> [1] "ate"
# The estimand is metadata on the vector, so it can be replaced in place.
estimand(wts) <- "att"
estimand(wts)
#> [1] "att"
# An object that is not a causal weight vector reports `FALSE` rather than
# erroring.
is_causal_wt(1:3)
#> [1] FALSE
# `estimand()` has no meaningful default, so it errors instead.
try(estimand(1:3))
#> Error in estimand.default(1:3) :
#> No `estimand()` method for an object of class <integer>.