exactMatch function creates a smaller
matching problem by stratifying observations into smaller
groups. For a problem that is larger than maximum allowed
size, minExatMatch provides a way to find the
smallest exact matching problem that will allow for
matching.minExactMatch(x, scores = NULL, width = NULL, ...)exactMatch.x is a formula of the form Z ~ X1 + X2,
where Z is indicates treatment or control status,
and X1 and X2 are variables can be
converted to factors. Any additional arguments are passed
to model.frame (e.g., a data
argument containing Z, X1, and X2). The the arguments scores and width must be
passed together. The function will apply the caliper
implied by the scores and the width while also adding in
blocking factors.