CRAN/E | riskCommunicator

riskCommunicator

G-Computation to Estimate Interpretable Epidemiological Effects

Installation

About

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.

Key Metrics

Version 1.0.1
R ≥ 3.5
Published 2022-05-31 706 days ago
Needs compilation? no
License GPL-3
CRAN checks riskCommunicator results

Downloads

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Maintainer

Maintainer

Jessica Grembi

jess.grembi@gmail.com

Authors

Jessica Grembi

aut / cre / cph

Elizabeth Rogawski McQuade

ctb

Material

README
NEWS
Reference manual
Package source

In Views

Epidemiology

Vignettes

Short Vignette: Included in Manuscript
Extended Vignette: For Newbie R Users

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

riskCommunicator archive

Depends

R ≥ 3.5

Imports

boot
dplyr
ggplot2
ggpubr
magrittr
MASS
methods
purrr
rlang
stats
tidyr
tidyselect

Suggests

knitr
rmarkdown
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tidyverse
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sandwich