pifpaf: Potential Impact Fraction and Population Attributable Fraction for Cross-Sectional Data

Uses a generalized method to estimate the Potential Impact Fraction (PIF) and the Population Attributable Fraction (PAF) from cross-sectional data. It creates point-estimates, confidence intervals, and estimates of variance. In addition it generates plots for conducting sensitivity analysis. The estimation method corresponds to Zepeda-Tello, Camacho-García-Formentí, et al. 2017. 'Nonparametric Methods to Estimate the Potential Impact Fraction from Cross-sectional Data'. Unpublished manuscript. This package was developed under funding by Bloomberg Philanthropies.

Version: 1.0.0
Depends: R (≥ 3.4.0)
Imports: ggplot2, matrixcalc, MASS, sfsmisc, stats, gridExtra, numDeriv
Suggests: testthat, knitr, rmarkdown
Published: 2017-05-31
Author: Rodrigo Zepeda-Tello [aut, cre], Dalia Camacho-García-Formentí [aut], Tonatiuh Barrientos-Gutiérrez [ctb], Ana Basto-Abreu [ctb], Ariela Braverman-Bronstein [ctb], Dèsirée Vidaña-Pérez [ctb], Frederick Cudhea [ctb], Instituto Nacional de Salud Pública [cph]
Maintainer: Rodrigo Zepeda-Tello <rzepeda17 at gmail.com>
License: GPL-3 | file LICENSE
NeedsCompilation: no
CRAN checks: pifpaf results


Reference manual: pifpaf.pdf
Vignettes: Introduction to the pifpaf package: Estimating Potential Impact and Population Attributable Fractions from Cross-Sectional data
Package source: pifpaf_1.0.0.tar.gz
Windows binaries: r-devel: pifpaf_1.0.0.zip, r-release: pifpaf_1.0.0.zip, r-oldrel: not available
OS X El Capitan binaries: r-release: pifpaf_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: not available


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