riskCommunicator: G-Computation to Estimate Interpretable Epidemiological Effects

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: 1.0.1
Depends: R (≥ 3.5)
Imports: boot, dplyr, ggplot2, ggpubr, magrittr, MASS, methods, purrr, rlang, stats, tidyr, tidyselect
Suggests: knitr, rmarkdown, testthat, tidyverse, printr, stringr, formatR, sandwich
Published: 2022-05-31
DOI: 10.32614/CRAN.package.riskCommunicator
Author: Jessica Grembi ORCID iD [aut, cre, cph], Elizabeth Rogawski McQuade ORCID iD [ctb]
Maintainer: Jessica Grembi <jess.grembi at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
In views: Epidemiology
CRAN checks: riskCommunicator results


Reference manual: riskCommunicator.pdf
Vignettes: Short Vignette: Included in Manuscript
Extended Vignette: For Newbie R Users


Package source: riskCommunicator_1.0.1.tar.gz
Windows binaries: r-devel: riskCommunicator_1.0.1.zip, r-release: riskCommunicator_1.0.1.zip, r-oldrel: riskCommunicator_1.0.1.zip
macOS binaries: r-release (arm64): riskCommunicator_1.0.1.tgz, r-oldrel (arm64): riskCommunicator_1.0.1.tgz, r-release (x86_64): riskCommunicator_1.0.1.tgz, r-oldrel (x86_64): riskCommunicator_1.0.1.tgz
Old sources: riskCommunicator archive


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