Package: tipr
Type: Package
Title: Tipping Point Analyses
Version: 1.0.0
Authors@R: c(
    person("Lucy", "D'Agostino McGowan", , "lucydagostino@gmail.com", 
    role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6983-2759"))
           )
Description: The strength of evidence provided by epidemiological and observational 
            studies is inherently limited by the potential for unmeasured confounding. 
            We focus on three key quantities: the observed bound of the confidence interval
            closest to the null, a plausible residual effect size for an unmeasured continuous 
            or binary confounder, and a realistic mean difference or prevalence difference for 
            this hypothetical confounder. Building on the methods put forth by 
            Lin, Psaty, & Kronmal (1998) <doi:10.2307/2533848>, we can use these quantities to 
            assess how an unmeasured confounder may tip our result to insignificance, rendering the
            study inconclusive.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.1.2
BugReports: https://github.com/LucyMcGowan/tipr/issues
Suggests: testthat, broom, dplyr, MASS
Imports: glue, tibble, purrr, sensemakr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2022-08-06 18:37:40 UTC; lucymcgowan
Author: Lucy D'Agostino McGowan [aut, cre]
    (<https://orcid.org/0000-0002-6983-2759>)
Maintainer: Lucy D'Agostino McGowan <lucydagostino@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-06 19:10:02 UTC
