Package: AF
Title: Model-Based Estimation of Confounder-Adjusted Attributable
        Fractions
Version: 0.1.5
Author: Elisabeth Dahlqwist and Arvid Sjolander
Maintainer: Elisabeth Dahlqwist <elisabeth.dahlqwist88@gmail.com>
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) <doi:10.1007/s00439-019-02006-8>.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Depends: stats, base, graphics, survival, drgee, stdReg, R (>= 3.5.0),
        data.table, ivtools
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-20 08:21:41 UTC; elidah
Repository: CRAN
Date/Publication: 2019-05-20 18:00:10 UTC
Built: R 4.6.0; ; 2026-04-26 11:17:28 UTC; unix
