bootmatch: Bootstrap treatment units for propensity score analysis

In jbryer/PSAgraphics2: Propensity Score Analysis

Description

Bootstrap treatment units for propensity score analysis

Usage

  bootmatch(Tr, Y, X, M = 100, ratio = 3, nstrata = 5,
    sample.size = (ratio * min(table(Tr))), ...)

Arguments

Tr	numeric (0 or 1) or logical vector of treatment indicators.
Y	vector of outcome varaible.
X	matrix or data frame of covariates used to estimate the propensity scores.
M	number of bootstrap samples to generate.
ratio	the ratio of control units to sample relative to the treatment units.
sample.size	the size of each bootstrap sample of control units.
nstrata	number of strata to use.
...	other parameters passed to Match and psa.strata

jbryer/PSAgraphics2 documentation built on May 18, 2019, 7:01 p.m.