Package: logisticRR 0.3.0

Youjin Lee

logisticRR: Adjusted Relative Risk from Logistic Regression

Adjusted odds ratio conditional on potential confounders can be directly obtained from logistic regression. However, those adjusted odds ratios have been widely incorrectly interpreted as a relative risk. As relative risk is often of interest in public health, we provide a simple code to return adjusted relative risks from logistic regression model under potential confounders.

Authors:Youjin Lee

logisticRR_0.3.0.tar.gz
logisticRR_0.3.0.zip(r-4.7)logisticRR_0.3.0.zip(r-4.6)logisticRR_0.3.0.zip(r-4.5)
logisticRR_0.3.0.tgz(r-4.6-any)logisticRR_0.3.0.tgz(r-4.5-any)
logisticRR_0.3.0.tar.gz(r-4.7-any)logisticRR_0.3.0.tar.gz(r-4.6-any)
logisticRR_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
logisticRR/json (API)

# Install 'logisticRR' in R:
install.packages('logisticRR', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/youjin1207/logisticrr/issues

On CRAN:

Conda:

archivedpackagesr-universe

3.65 score 5 stars 18 scripts 199 downloads 8 exports 1 dependencies

Last updated from:2c27bc84da (on package/logisticRR). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK117
source / vignettesOK146
linux-release-x86_64OK123
macos-release-arm64OK130
macos-oldrel-arm64OK85
windows-develOK83
windows-releaseOK96
windows-oldrelOK83
wasm-releaseOK94

Exports:logisticRRmultinRRmultiRRnominalRRprintmnRRprintmRRprintnRRprintRR

Dependencies:nnet

Deriving relative risk from logistic regression

Rendered fromlogisticRR.Rmdusingknitr::rmarkdownon May 14 2026.

Last update: 2026-05-14
Started: 2026-05-14