MatchIt package implementation for bootstrapping.

MatchIt package implementation for bootstrapping.

Usage

boot.matchit(Tr, Y, X, X.trans, formu, ...)

Arguments

Tr

vector indicating treatment assignment.

Y

vector of outcome.

X

matrix or data frame of covariates.

X.trans

a data frame of `X` with factors recoded. See `[PSAgraphics::cv.trans.psa()]`

formu

the formula to use to estimate propensity scores. Note that the dependent varaible (i.e. treatment varaible) name will be updated using the Tr vector.

...

other parameters passed from `[PSAboot()]`

Value

a list with three elements:

summary

a named numeric vector (with at minimum estimate, ci.min, and ci.max but other values allowed)

balance

a named numeric vector with one element per covariate listed in X.trans representing a balance statistic (usually standardized effect size after adjustment)

details

an arbitrary object that contains the full results of the analysis