pifpaf: pifpaf: A package for estimating the Potential Impact...
In pifpaf: Potential Impact Fraction and Population Attributable Fraction for Cross-Sectional Data
Description
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 (pif,
paf), confidence intervals (pif.confidence,
paf.confidence),and estimates of variance.
In addition it generates plots for conducting sensitivity analysis (pif.sensitivity,
pif.heatmap, pif.plot).
The estimation method corresponds to Zepeda-Tello, Camacho-Garc<c3><ad>a-Forment<c3><ad>, et al,
'Nonparametric Methods to Estimate the Potential Impact Fraction from Cross-sectional Data',
Unpublished manuscript. 2017.
This package was developed by the National Institute of Public Health of Mexico
under funding by Bloomberg Philanthropies. Please see the package's vignette for more information:
browseVignettes("pifpaf").
pifpaf documentation built on May 1, 2019, 9:11 p.m.
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Description
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 (pif,
paf), confidence intervals (pif.confidence,
paf.confidence),and estimates of variance.
In addition it generates plots for conducting sensitivity analysis (pif.sensitivity,
pif.heatmap, pif.plot).
The estimation method corresponds to Zepeda-Tello, Camacho-Garc<c3><ad>a-Forment<c3><ad>, et al,
'Nonparametric Methods to Estimate the Potential Impact Fraction from Cross-sectional Data',
Unpublished manuscript. 2017.
This package was developed by the National Institute of Public Health of Mexico
under funding by Bloomberg Philanthropies. Please see the package's vignette for more information:
browseVignettes("pifpaf").
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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