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gesttools  

General Purpose G-Estimation for End of Study or Time-Varying Outcomes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gesttools", "1.3.0")



Attach the package and use:
library("gesttools")
Maintained by
Daniel Tompsett
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-08
Latest Update: 2022-01-04
Description:
Provides a series of general purpose tools to perform g-estimation using the methods described in Sjolander and Vansteelandt (2016) and Dukes and Vansteelandt . The package allows for g-estimation in a wide variety of circumstances, including an end of study or time-varying outcome, and an exposure that is a binary, continuous, or a categorical variable with three or more categories. The package also supports g-estimation with time-varying causal effects and effect modification by a confounding variable.
How to cite:
Daniel Tompsett (2020). gesttools: General Purpose G-Estimation for End of Study or Time-Varying Outcomes. R package version 1.3.0, https://cran.r-project.org/web/packages/gesttools. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.1 (2020-12-08 10:40), 1.2.0 (2021-06-10 14:30)
Other packages that cited gesttools R package
View gesttools citation profile
Other R packages that gesttools depends, imports, suggests or enhances
Complete documentation for gesttools
Functions, R codes and Examples using the gesttools R package
Some associated functions: FormatData . dataexamples . gestMultiple . gestSingle . gestboot . 
Some associated R codes: FormatData.R . dataexamples.R . gestMultiple.R . gestSingle.R . gestboot.R .  Full gesttools package functions and examples
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