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tmle  

Targeted Maximum Likelihood Estimation
View on CRAN: Click here


Download and install tmle package within the R console
Install from CRAN:
install.packages("tmle")

Install from Github:
library("remotes")
install_github("cran/tmle")

Install by package version:
library("remotes")
install_version("tmle", "2.1.1")



Attach the package and use:
library("tmle")
Maintained by
Susan Gruber
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-11-14
Latest Update: 2025-09-03
Description:
Targeted maximum likelihood estimation of point treatment effects (Targeted Maximum Likelihood Learning, The International Journal of Biostatistics, 2(1), 2006.This version automatically estimates the additive treatment effect among the treated (ATT) and among the controls (ATC).The tmle() function calculates the adjusted marginal difference in mean outcome associated with a binary point treatment, for continuous or binary outcomes.Relative risk and odds ratio estimates are also reported for binary outcomes. Missingness in the outcome is allowed, but not in treatment assignment or baseline covariate values.The population mean is calculated when there is missingness, and no variation in the treatment assignment. The tmleMSM() function estimates the parameters of a marginal structural model for a binary point treatment effect. Effect estimation stratified by a binary mediating variable is also available. An ID argument can be used to identify repeated measures. Default settings call 'SuperLearner' to estimate the Q and g portions of the likelihood, unless values or a user-supplied regression function are passed in as arguments.
How to cite:
Susan Gruber (2012). tmle: Targeted Maximum Likelihood Estimation. R package version 2.1.1, https://cran.r-project.org/web/packages/tmle. Accessed 06 Jun. 2026.
Previous versions and publish date:
1.2.0-2 (2012-11-14 15:11), 1.2.0-3 (2012-11-15 18:28), 1.2.0-4 (2014-03-09 08:00), 1.2.0-5 (2017-01-07 17:45), 1.3.0-1 (2018-03-26 01:09), 1.3.0-2 (2019-02-20 16:30), 1.3.0 (2018-02-01 17:55), 1.4.0.1 (2019-10-15 17:40), 1.4.0 (2019-10-13 16:00), 1.5.0-1 (2020-06-07 22:20), 1.5.0.2 (2021-09-06 23:30), 2.0.0 (2023-08-22 23:00), 2.0.1.1 (2024-05-28 16:10), 2.0.1 (2024-05-02 10:50)
Other packages that cited tmle R package
View tmle citation profile
Other R packages that tmle depends, imports, suggests or enhances
Complete documentation for tmle
Functions, R codes and Examples using the tmle R package
Some associated functions: calcParameters . calcSigma . estimateG . estimateQ . fev . oneStepATT . summary.tmle . summary.tmleMSM . tmle-package . tmle.Sl.dbarts2 . tmle . tmleMSM . tmleNews . 
Some associated R codes: tmle.R . zzz.R .  Full tmle package functions and examples
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