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ltmle  

Longitudinal Targeted Maximum Likelihood Estimation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ltmle", "1.3-0")



Attach the package and use:
library("ltmle")
Maintained by
Joshua Schwab
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-05-06
Latest Update: 2023-04-15
Description:
Targeted Maximum Likelihood Estimation ('TMLE') of treatment/censoring specific mean outcome or marginal structural model for point-treatment and longitudinal data.
How to cite:
Joshua Schwab (2013). ltmle: Longitudinal Targeted Maximum Likelihood Estimation. R package version 1.3-0, https://cran.r-project.org/web/packages/ltmle. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.9-5 (2015-05-07 22:00), 0.9-6 (2015-05-29 08:50), 0.9-7 (2016-02-25 18:43), 0.9-8 (2016-04-20 21:20), 0.9-9-3 (2017-06-22 01:22), 0.9-9 (2016-11-17 08:27), 0.9-10 (2017-08-24 19:16), 0.9.1 (2013-10-18 19:58), 0.9.3-1 (2014-04-22 18:51), 0.9.3 (2013-12-12 18:58), 0.9 (2013-05-06 07:33), 1.0-0 (2017-10-06 23:26), 1.0-1 (2017-12-13 22:42), 1.1-0 (2018-08-20 22:30), 1.2-0 (2020-03-14 00:00)
Other packages that cited ltmle R package
View ltmle citation profile
Other R packages that ltmle depends, imports, suggests or enhances
Complete documentation for ltmle
Functions, R codes and Examples using the ltmle R package
Some associated functions: BinaryToCensoring . deterministic.g.function_template . ltmle-package . ltmle . sampleDataForLtmleMSM . summary.ltmle . 
Some associated R codes: BinaryToCensoring.R . DeterministicFunctions.R . GeneralUtilities.R . ltmle-package.R . ltmle.R . ltmle_sg.R . zzz.R .  Full ltmle package functions and examples
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