Match on a model-averaged propensity score

Convenience pass-through to MatchIt::matchit(): matches on the model-averaged propensity score of a psave() fit, reusing the formula and data stored in the object. Equivalent to the canonical explicit call

MatchIt::matchit(<formula>, data = <data>, distance = fit$ps, ...)

but with no opportunity for row misalignment between the two steps. All ... arguments are forwarded verbatim; the return value is an ordinary matchit object, so the full MatchIt/cobalt toolkit applies.

Usage

psave_match(x, ...)

Arguments

x

A psave object.

...

Arguments forwarded verbatim to MatchIt::matchit() (e.g., method, caliper, ratio, replace).

Value

A matchit object; see MatchIt::matchit().

See also

psave(), psave_weight(), MatchIt::matchit()

Examples

data("lalonde", package = "MatchIt")
fit <- psave(treat ~ age + educ + married + re74, data = lalonde,
             outcome = ~ re78, ps.methods = "glm", prog.methods = "glm")
m <- psave_match(fit, method = "nearest", caliper = 0.2)
cobalt::bal.tab(m, distance = data.frame(prog = fit$prog))
#> Balance Measures
#>              Type Diff.Adj
#> prog     Distance   0.0063
#> distance Distance   0.0752
#> age       Contin.   0.1292
#> educ      Contin.  -0.0349
#> married    Binary  -0.0324
#> re74      Contin.   0.0366
#> 
#> Sample sizes
#>           Control Treated
#> All           429     185
#> Matched       185     185
#> Unmatched     244       0