Package: episensr
Type: Package
Title: Basic Sensitivity Analysis of Epidemiological Results
Version: 1.3.0
Imports: triangle, trapezoid, actuar, dagitty, ggdag, boot, magrittr
Date: 2023-08-29
Authors@R: 
    person(given = "Denis",
           family = "Haine",
           role = c("aut", "cre"),
           email = "denis.haine@gmail.com",
           comment = c(ORCID = "0000-0002-6691-7335"))
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', 2021).
Depends: R (>= 4.0.0), ggplot2 (>= 3.4.0)
License: GPL-2
Suggests: testthat, knitr, rmarkdown, aplore3, directlabels, tidyr,
        lattice, covr
RoxygenNote: 7.2.3
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/dhaine/episensr,
        https://dhaine.github.io/episensr/
NeedsCompilation: no
Packaged: 2023-08-29 21:12:00 UTC; denis
Author: Denis Haine [aut, cre] (<https://orcid.org/0000-0002-6691-7335>)
Maintainer: Denis Haine <denis.haine@gmail.com>
Repository: CRAN
Date/Publication: 2023-08-30 09:20:05 UTC
Built: R 4.2.0; ; 2023-08-30 10:18:46 UTC; unix
