Functions to create and manipulate psw objects, which are specialized
vectors for propensity score weights with optional estimand attributes.
Most users should use wt_ate() and friends, but these functions can help
extend the functionality of psw objects.
Usage
new_psw(x = double(), estimand = NULL, stabilized = FALSE, ...)
psw(x = double(), estimand = NULL, stabilized = FALSE)
is_psw(x)
is_stabilized(wt)
is_causal_wt(x)
as_psw(x, estimand = NULL)
estimand(wt)
estimand(wt) <- value
Arguments
- x
A numeric vector (default: double()).
- estimand
A character string representing the estimand (e.g., "ate",
"att", "ato"). Default is NULL.
- stabilized
A logical TRUE
- ...
Additional attributes to track in the weights.
- wt
An object to check or convert.
- value
The value to add to the attribute.
Value
new_psw(): A psw object.
psw(): A psw object.
is_psw(): TRUE if the object is a psw, otherwise FALSE.
as_psw(): A psw object.
estimand(): The estimand attribute of a psw object.
is_stabilized(): The stabilized attribute of a psw object.
Examples
psw_weights <- new_psw(c(0.1, 0.2, 0.3), estimand = "ate")
is_psw(psw_weights)
#> [1] TRUE
estimand(psw_weights)
#> [1] "ate"
psw_helper <- psw(c(0.5, 0.7), estimand = "att")
as_psw(c(0.1, 0.2), estimand = "ato")
#> <psw{estimand = ato}[2]>
#> [1] 0.1 0.2
