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riskCommunicator  

G-Computation to Estimate Interpretable Epidemiological Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("riskCommunicator", "1.0.1")



Attach the package and use:
library("riskCommunicator")
Maintained by
Jessica Grembi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-26
Latest Update: 2022-05-31
Description:
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) and has been described in detail by Ahern, Hubbard, and Galea (2009) ; Snowden, Rose, and Mortimer (2011) ; and Westreich et al. (2012) .
How to cite:
Jessica Grembi (2020). riskCommunicator: G-Computation to Estimate Interpretable Epidemiological Effects. R package version 1.0.1, https://cran.r-project.org/web/packages/riskCommunicator. Accessed 27 Jun. 2026.
Previous versions and publish date:
0.1.0 (2020-06-26 12:10), 1.0.0 (2022-02-14 19:10)
Other packages that cited riskCommunicator R package
View riskCommunicator citation profile
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Complete documentation for riskCommunicator
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