Package: AF
Type: Package
Title: Model-Based Estimation of Confounder-Adjusted Attributable
        Fractions
Version: 0.1.4
Date: 2017-02-06
Author: Elisabeth Dahlqwist and Arvid Sjölander
Maintainer: Elisabeth Dahlqwist <elisabeth.dahlqwist@ki.se>
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) and gamma-frailty model with a Weibull baseline hazard. The variance of the estimator is obtained by combining the delta
    method with the the sandwich formula. Dahlqwist et al.(2016) <doi:10.1007/s10654-016-0137-7>.
License: GPL-2 | GPL-3
LazyData: TRUE
Depends: stats, base, graphics, survival, drgee, stdReg, R (>= 3.3.1),
        data.table
Encoding: UTF-8
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2017-02-10 12:47:41 UTC; elidah
Repository: CRAN
Date/Publication: 2017-02-11 00:42:31
