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riskCommunicator
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]
[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.
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imports, suggests or enhances
Complete documentation for riskCommunicator
Functions, R codes and Examples using
the riskCommunicator R package
Some associated functions: cvdd . framingham . gComp . get_results_dataframe . make_predict_df . plot.gComp . pointEstimate . print.gComp . riskCommunicator . summary.gComp .
Some associated R codes: cvdd.R . framingham.R . gComp.R . get_results_dataframe.R . make_predict_df.R . plot.gComp.R . pointEstimate.R . print.gComp.R . riskCommunicator.R . summary.gComp.R . Full riskCommunicator package functions and examples
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