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AF  

Model-Based Estimation of Confounder-Adjusted Attributable Fractions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("AF", "0.1.5")



Attach the package and use:
library("AF")
Maintained by
Elisabeth Dahlqwist
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-08-26
Latest Update: 2019-05-20
Description:
Estimates the attributable fraction in different sampling designs adjusted for measured confounders using logistic regression (cross-sectional and case-control designs), conditional logistic regression (matched case-control design), Cox proportional hazard regression (cohort design with time-to- event outcome), gamma-frailty model with a Weibull baseline hazard and instrumental variables analysis. An exploration of the AF with a genetic exposure can be found in the package 'AFheritability' Dahlqwist E et al. (2019) .
How to cite:
Elisabeth Dahlqwist (2015). AF: Model-Based Estimation of Confounder-Adjusted Attributable Fractions. R package version 0.1.5, https://cran.r-project.org/web/packages/AF. Accessed 29 Oct. 2026.
Previous versions and publish date:
0.1.1 (2015-12-14 17:19), 0.1.2 (2016-02-19 13:21), 0.1.4 (2017-02-11 00:42), 0.1.5 (2019-05-20 20:00), 0.1 (2015-08-26 14:57), (2026-07-09 07:56)
Other packages that cited AF R package
View AF citation profile
Other R packages that AF depends, imports, suggests or enhances
Complete documentation for AF
Functions, R codes and Examples using the AF R package
Some associated functions: AF.cc . AF.ch . AF.cs . AFclogit . AFcoxph . AFglm . AFivglm . AFparfrailty . clslowbwt . plot.AF . rott2 . singapore . summary.AF . 
Some associated R codes: AFcc.R . AFch.R . AFclogit.R . AFcoxph.R . AFcs.R . AFfunctions.R . AFgest.R . AFglm.R . AFivglm.R . AFparfrailty.R . AFtsest.R . data-clslowbwt.R . data-rott2.R . data-singapore.R .  Full AF package functions and examples
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