episensr: Basic Sensitivity Analysis of Epidemiological Results

Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. It follows the bias analysis methods and examples from the book by Lash T.L, Fox M.P, and Fink A.K. "Applying Quantitative Bias Analysis to Epidemiologic Data", ('Springer', 2009).

Version: 0.9.2
Depends: R (≥ 3.4.1)
Imports: triangle, trapezoid, actuar, llogistic, logitnorm, plyr, ggplot2, grid, gridExtra, reshape, boot
Suggests: testthat, knitr, rmarkdown, aplore3
Published: 2017-11-13
Author: Denis Haine [aut, cre]
Maintainer: Denis Haine <denis.haine at gmail.com>
BugReports: https://github.com/dhaine/episensr/issues
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: episensr results


Reference manual: episensr.pdf
Vignettes: Quantitative Bias Analysis for Epidemiologic Data
Package source: episensr_0.9.2.tar.gz
Windows binaries: r-devel: episensr_0.9.2.zip, r-release: episensr_0.9.2.zip, r-oldrel: episensr_0.8.0.zip
OS X El Capitan binaries: r-release: episensr_0.9.2.tgz
OS X Mavericks binaries: r-oldrel: episensr_0.8.0.tgz
Old sources: episensr archive


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