pcl: Create a Proximal Causal Learning Object

In PCL: Proximal Causal Learning

Description

Create a proximal causal learning object, usually used as a variable in a model function. Argument matching

Usage

pcl(outcome, trt, trt_pxy, out_pxy, covariates)

Arguments

outcome	the outcome variable
trt	the binary treatment variable
trt_pxy	the treatment-inducing proxies
out_pxy	the outcome-inducing proxies
covariates	the observed confounders

Value

pcl returns an object of class "pcl", which wraps the treatment, outcome, treatment inducing confounding proxies, outcome inducing confounding proxies and other covariates

Examples

n <- 100
outcome <- rnorm(n, 0, 1)
trt <- rbinom(n, 1, 0.5)
trt_pxy <- rnorm(n, 0, 1)
out_pxy <- rnorm(n, 0, 1)
covariates <- rnorm(n, 0, 1)
pcl_object <- pcl(outcome, trt, trt_pxy, out_pxy, covariates)

PCL documentation built on April 10, 2021, 9:07 a.m.