sdiff(varname, treatment, orig.data, match.data = NULL,
treat.wts = NULL, ctrl.wts = NULL, mt.wts = NULL, mc.wts = NULL)
ttest.balance(varname, treatment, orig.data, match.data = NULL,
treat.wts = NULL, ctrl.wts = NULL, mt.wts = NULL, mc.wts = NULL)
fisher.balance(varname, treatment, orig.data, match.data = NULL,
treat.wts = NULL, ctrl.wts = NULL, mt.wts = NULL, mc.wts = NULL)
wilc.balance(varname, treatment, orig.data, match.data = NULL,
treat.wts = NULL, ctrl.wts = NULL, mt.wts = NULL, mc.wts = NULL)sdiff, the vector has six elements if match.data is provided: treated and control means and standardized differences before and after matching. If match.data is not provided, the vector has only the three elements corresponding to the pre-match case.
For the other functions, if match.data is provided, the vector contains p-values for the test before and after matching. Otherwise a single p-value is given for the pre-match data.sdiff function computes the standardized difference in means. The other functions perform different kinds of balance tests: t.balance does the 2-sample t-test, fisher.balance does Fisher's exact test for binary variable, and wilc.balance does Wilcoxon's signed rank test.Rosenbaum, Paul R. (2010). Design of Observational Studies. Springer-Verlag.