tmle: tmle

In jucheng1992/ctmlejl: ctmlejl: An interface to use TargetedLearning package in julia

Description

A function compute ctmle estimator and its standard error based on julia package TargetedLearning.jl.

Usage

tmle(logitQnA1, logitQnA0, W, A, Y, gn1, param = "ATE")

Arguments

logitQnA1	logitQnA1 numeric vector containing initial estimates for treatment group in logit scale.
logitQnA0	logitQnA0 numeric vector containing initial estimates for control group in logit scale.
W	numeric matrix or dataframe, stand for covariates.
A	numeric 1-0 vector, stand for treatment.
Y	numeric vector, stand for outcome.
gn1	numeric vector, stand for estimated probability of treatment (propensity score).
param	a string stand for different target parameter. "ATE" stands for additive treatment effect, Mean1 and Mean0 stand for the mean outcome in treatment or control group.

Value

A list for targeted estimator and standard error.

Author(s)

Cheng JU

jucheng1992/ctmlejl documentation built on May 20, 2019, 4:20 a.m.