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#' pifpaf: A package for estimating the Potential Impact Fraction and the
#' Population Attributable Fraction from 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 (\code{\link{pif}},
#' \code{\link{paf}}), confidence intervals (\code{\link{pif.confidence}},
#' \code{\link{paf.confidence}}),and estimates of variance.
#' In addition it generates plots for conducting sensitivity analysis (\code{\link{pif.sensitivity}},
#' \code{\link{pif.heatmap}}, \code{\link{pif.plot}}).
#' The estimation method corresponds to Zepeda-Tello, Camacho-GarcĂa-FormentĂ, 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#' Unpublished manuscript. 2017.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:
#' \code{browseVignettes("pifpaf")}.
#'
#'
#' @docType package
#' @name pifpaf
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