In lurui0421/TMLE-for-causal-inference-: The Extensible TMLE Framework

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)

R/`tmle3`

The Extensible TMLE framework

Author: Jeremy Coyle

What's `tmle3`?

tmle3 is a general framework that supports the implementation of a range of Targeted Maximum Likelihood / Minimum Loss-Based Estimation (TMLE) parameters through exposing a unified interface. The goal is that the tmle3 framework be as general as the mathematical framework upon which it's based.

For a general discussion of the framework of targeted minimum loss-based estimation and the role this methodology plays in statistical and causal inference, the canonical references are @vdl2011targeted and @vdl2018targeted.

Installation

You can install the development version of tmle3 from GitHub via devtools with

devtools::install_github("tlverse/tmle3")

Getting Started

The best place to get started is the "Framework Overview" document, which describes the individual components of the tmle3 framework. It may be found at https://tlverse.org/tmle3/articles/framework.html.