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AF
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]
[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 21 Nov. 2024.
Previous versions and publish date:
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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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