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 Unpublished manuscript.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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