pifpaf (1.0.1)

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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-Garca-Forment, 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 Unpublished manuscript.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.

Maintainer: Rodrigo Zepeda-Tello
Author(s): Rodrigo Zepeda-Tello [aut, cre], Dalia Camacho-Garca-Forment [aut], Tonatiuh Barrientos-Gutirrez [ctb], Ana Basto-Abreu [ctb], Ariela Braverman-Bronstein [ctb], Dsire Vidaa-Prez [ctb], Frederick Cudhea [ctb], Instituto Nacional de Salud Pblica [cph]

License: GPL-3 | file LICENSE

Uses: ggplot2, gridExtra, MASS, matrixcalc, numDeriv, sfsmisc, testthat, knitr, rmarkdown

Released 8 months ago.

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