Type: Package Package: tipr Title: Tipping Point Analyses Version: 1.0.2.9000 Authors@R: c( person("Lucy", "D'Agostino McGowan", , "lucydagostino@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6983-2759")), person("Malcolm", "Barrett", , "malcolmbarrett@gmail.com", role = "aut", comment = c(ORCID = "0000-0003-0299-5825")) ) 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, the relationship between an unmeasured confounder and the outcome, for example a plausible residual effect size for an unmeasured continuous or binary confounder, and the relationship between an unmeasured confounder and the exposure, for example a realistic mean difference or prevalence difference for this hypothetical confounder between exposure groups. Building on the methods put forth by Cornfield et al. (1959), Bross (1966), Schlesselman (1978), Rosenbaum & Rubin (1983), Lin et al. (1998), Lash et al. (2009), Rosenbaum (1986), Cinelli & Hazlett (2020), VanderWeele & Ding (2017), and Ding & VanderWeele (2016), we can use these quantities to assess how an unmeasured confounder may tip our result to insignificance. License: MIT + file LICENSE URL: https://r-causal.github.io/tipr/, https://github.com/r-causal/tipr BugReports: https://github.com/r-causal/tipr/issues Depends: R (>= 2.10) Imports: cli (>= 3.4.1), glue, purrr, rlang (>= 1.0.6), sensemakr, tibble Suggests: broom, dplyr, MASS, testthat Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.1 Repository: https://r-causal.r-universe.dev Date/Publication: 2024-02-06 20:55:06 UTC RemoteUrl: https://github.com/r-causal/tipr RemoteRef: HEAD RemoteSha: ba218310fe20e23976e63d20608b791a81ea913d NeedsCompilation: no Packaged: 2026-06-17 10:51:23 UTC; root Author: Lucy D'Agostino McGowan [aut, cre] (ORCID: ), Malcolm Barrett [aut] (ORCID: ) Maintainer: Lucy D'Agostino McGowan