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).

Maintainer: Denis Haine <denis.haine at gmail.com>

Author(s): Denis Haine*

Install package and any missing dependencies by running this line in your R console:

install.packages("episensr")

Depends R (>= 3.3.1)
Imports triangle, trapezoid, plyr, ggplot2, grid, gridExtra, reshape, boot
Suggests testthat, knitr, rmarkdown, aplore3
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Package episensr
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Version 0.8.0
Published 2017-01-04
License GPL-2
BugReports https://github.com/dhaine/episensr/issues
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NeedsCompilation no
Citation
CRAN checks episensr check results
Package source episensr_0.8.0.tar.gz