causal_multiple_treatment: Estimation of Causal Effects of Multiple Treatments with a...

In JiayiJi/causal.multiple.treatments: Estimation of Causal Effects of Multiple Treatments with a Binary Outcome

Description

Estimation of Causal Effects of Multiple Treatments with a Binary Outcome

Usage

causal_multiple_treatment(y = y, x = idata$trtdat, trt = trt_ind,
  method, discard, estimand)

Arguments

y	y is a numeric vector for the binary outcome
x	x is a dataframe including the treatment indicator and the covariates
trt	trt is a numeric vector for the treatment indicator
method	method is the potential methods for causal inference with multiple treatments. In the package, we incorporate regression adjustment, vector matching, inverse probability of treatment weighting and Bayesian Additive Regression Trees.
discard	Whether to use discarding rules for BART
estimand	Whether the focus is on ATT effect or ATE effect

JiayiJi/causal.multiple.treatments documentation built on Nov. 14, 2019, 7:46 p.m.