pifpaf: Potential Impact Fraction and Population Attributable Fraction for Cross-Sectional Data
Version 1.0.1

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 Unpublished manuscript.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.

Package details

AuthorRodrigo 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]
Date of publication2017-09-28 19:17:36 UTC
MaintainerRodrigo Zepeda-Tello <[email protected]>
LicenseGPL-3 | file LICENSE
Version1.0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pifpaf")

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pifpaf documentation built on Sept. 29, 2017, 1:03 a.m.