Other packages > Find by keyword >

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 Mar. 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
solitude  
An Implementation of Isolation Forest
Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detecti ...
Download / Learn more Package Citations See dependency  
openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA