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", "2.0.1.1")



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: 2023-08-22
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 2.0.1.1, https://cran.r-project.org/web/packages/tmle. Accessed 03 Feb. 2025.
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 (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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

SMR  
Externally Studentized Midrange Distribution
Computes the studentized midrange distribution (pdf, cdf and quantile) and generates random numbers. ...
Download / Learn more Package Citations See dependency  
metaboData  
Example Metabolomics Data Sets
Data sets from a variety of biological sample matrices, analysed using a number of mass spectrometr ...
Download / Learn more Package Citations See dependency  
Bolstad2  
Bolstad Functions
A set of R functions and data sets for the book "Understanding Computational Bayesian Statistics." T ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
HGMND  
Heterogeneous Graphical Model for Non-Negative Data
Graphical model is an informative and powerful tool to explore the conditional dependence relationsh ...
Download / Learn more Package Citations See dependency  
predictoR  
Predictive Data Analysis System
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes ...
Download / Learn more Package Citations See dependency  

23,630

R Packages

204,513

Dependencies

64,101

Author Associations

23,581

Publication Badges

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