gesttools: General Purpose G-Estimation for End of Study or Time-Varying Outcomes

Provides a series of general purpose tools to perform g-estimation using the methods described in Sjolander and Vansteelandt (2016) <doi:10.1515/em-2015-0005> and Dukes and Vansteelandt <doi:10.1093/aje/kwx347>. 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.

Version: 1.2.0
Imports: DataCombine, tidyr, tibble, tidyselect, geeM, rsample, nnet, magrittr
Published: 2021-06-10
Author: Daniel Tompsett, Stijn Vansteelandt, Oliver Dukes, Bianca De Stavola
Maintainer: Daniel Tompsett <danieltompsettwork at gmail.com>
BugReports: https://github.com/danieltompsett/gesttools/issues
License: GPL-3
URL: https://github.com/danieltompsett/gesttools
NeedsCompilation: no
CRAN checks: gesttools results

Downloads:

Reference manual: gesttools.pdf
Package source: gesttools_1.2.0.tar.gz
Windows binaries: r-devel: gesttools_1.2.0.zip, r-release: gesttools_1.2.0.zip, r-oldrel: gesttools_1.2.0.zip
macOS binaries: r-release (arm64): gesttools_1.2.0.tgz, r-release (x86_64): gesttools_1.2.0.tgz, r-oldrel: gesttools_1.2.0.tgz
Old sources: gesttools archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gesttools to link to this page.