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).

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Description file content

Package
episensr
Type
Package
Title
Basic Sensitivity Analysis of Epidemiological Results
Version
0.9.2
Imports
triangle, trapezoid, actuar, llogistic, logitnorm, plyr, ggplot2, grid, gridExtra, reshape, boot
Date
2017-11-13
BugReports
https://github.com/dhaine/episensr/issues
Description
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).
Depends
R (>= 3.4.1)
License
GPL-2
Suggests
testthat, knitr, rmarkdown, aplore3
RoxygenNote
6.0.1
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2017-11-13 15:45:39 UTC; denis
Author
Denis Haine [aut, cre]
Maintainer
Denis Haine
Repository
CRAN
Date/Publication
2017-11-13 15:56:56 UTC

install.packages('episensr')

0.9.2

5 days ago

Denis Haine

GPL-2

Depends on

R (>= 3.4.1)

Imports

triangle, trapezoid, actuar, llogistic, logitnorm, plyr, ggplot2, grid, gridExtra, reshape, boot

Suggests

testthat, knitr, rmarkdown, aplore3

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