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AF

Model-Based Estimation of Confounder-Adjusted Attributable Fractions

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) <doi:10.1007/s00439-019-02006-8>.

Versions across snapshots

VersionRepositoryFileSize
0.1.5 rolling linux/jammy R-4.5 AF_0.1.5.tar.gz 250.8 KiB
0.1.5 rolling linux/noble R-4.5 AF_0.1.5.tar.gz 250.7 KiB
0.1.5 rolling source/ R- AF_0.1.5.tar.gz 137.5 KiB
0.1.5 latest linux/jammy R-4.5 AF_0.1.5.tar.gz 250.8 KiB
0.1.5 latest linux/noble R-4.5 AF_0.1.5.tar.gz 250.7 KiB
0.1.5 latest source/ R- AF_0.1.5.tar.gz 137.5 KiB
0.1.5 2026-04-26 source/ R- AF_0.1.5.tar.gz 137.5 KiB
0.1.5 2026-04-23 source/ R- AF_0.1.5.tar.gz 137.5 KiB
0.1.5 2026-04-09 windows/windows R-4.5 AF_0.1.5.zip 253.3 KiB
0.1.5 2025-04-20 source/ R- AF_0.1.5.tar.gz 137.5 KiB

Dependencies (latest)

Depends