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) 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.


Reference manual

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1.2.0 by Daniel Tompsett, 6 months ago

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Authors: Daniel Tompsett , Stijn Vansteelandt , Oliver Dukes , Bianca De Stavola

Documentation:   PDF Manual  

GPL-3 license

Imports DataCombine, tidyr, tibble, tidyselect, geeM, rsample, nnet, magrittr

See at CRAN