Estimates flexible epidemiological effect measures including both differences and ratios using the parametric G-formula developed as an alternative to inverse probability weighting. It is useful for estimating the impact of interventions in the presence of treatment-confounder-feedback. G-computation was originally described by Robbins (1986) <doi:10.1016/0270-0255(86)90088-6> and has been described in detail by Ahern, Hubbard, and Galea (2009) <doi:10.1093/aje/kwp015>; Snowden, Rose, and Mortimer (2011) <doi:10.1093/aje/kwq472>; and Westreich et al. (2012) <doi:10.1002/sim.5316>.
Version: | 0.1.0 |
Depends: | R (≥ 3.5) |
Imports: | boot, dplyr, ggplot2, gridExtra, magrittr, purrr, stats, rlang, tidyr, tidyselect, tidyverse |
Suggests: | knitr, rmarkdown, testthat, printr |
Published: | 2020-06-26 |
Author: | Jessica Grembi |
Maintainer: | Jessica Grembi <jess.grembi at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | riskCommunicator results |
Reference manual: | riskCommunicator.pdf |
Vignettes: |
riskCommunicator package vignette for manuscript riskCommunicator package extended vignette for newbie R users |
Package source: | riskCommunicator_0.1.0.tar.gz |
Windows binaries: | r-devel: riskCommunicator_0.1.0.zip, r-release: riskCommunicator_0.1.0.zip, r-oldrel: riskCommunicator_0.1.0.zip |
macOS binaries: | r-release: riskCommunicator_0.1.0.tgz, r-oldrel: riskCommunicator_0.1.0.tgz |
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