Propensity score weighting implementation for bootstrapping.

Usage

boot.weighting(Tr, Y, X, X.trans, formu, estimand = "ATE", ...)

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 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.
estimand: which treatment effect to estimate. Values can be ATE, ATT, ATC, or ATM.
...: other parameters passed from PSAboot

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